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[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
# Model Zoo
[Docs] update README and model_zoo.md (#165) * [Docs] update README * [Docs] add simsiam logs * [Docs] add chinese version of model_zoo.md * [Docs] fix typo * [Benchmark] update SimSiam 100 epoch benchmark results * [Benchmark] update simsiam 100 epoch seg results
2022-01-10 16:40:47 +08:00
All models and part of benchmark results are recorded below.
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
## Pre-trained models
Bump version to v0.9.1 (#322) * [Fix]: Set qkv bias to False for cae and True for mae (#303) * [Fix]: Add mmcls transformer layer choice * [Fix]: Fix transformer encoder layer bug * [Fix]: Change UT of cae * [Feature]: Change the file name of cosine annealing hook (#304) * [Feature]: Change cosine annealing hook file name * [Feature]: Add UT for cosine annealing hook * [Fix]: Fix lint * read tutorials and fix typo (#308) * [Fix] fix config errors in MAE (#307) * update readthedocs algorithm readme (#310) * [Docs] Replace markdownlint with mdformat (#311) * Replace markdownlint with mdformat to avoid installing ruby * fix typo * add 'ba' to codespell ignore-words-list * Configure Myst-parser to parse anchor tag (#309) * [Docs] rewrite install.md (#317) * rewrite the install.md * add faq.md * fix lint * add FAQ to README * add Chinese version * fix typo * fix format * remove modification * fix format * [Docs] refine README.md file (#318) * refine README.md file * fix lint * format language button * rename getting_started.md * revise index.rst * add model_zoo.md to index.rst * fix lint * refine readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update byol models and results (#319) * Update version information (#321) Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yi Lu <21515006@zju.edu.cn> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-06-01 09:59:05 +08:00
| Algorithm | Config | Download |
| ------------------------------------------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Relative Location](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/relative_loc/README.md) | [relative-loc_resnet50_8xb64-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k_20220225-84784688.pth) \| [log](https://download.openmmlab.com/mmselfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k_20220211_124808.log.json) |
| [Rotation Prediction](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/rotation_pred/README.md) | [rotation-pred_resnet50_8xb16-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k_20220225-5b9f06a0.pth) \| [log](https://download.openmmlab.com/mmselfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k_20220215_185303.log.json) |
| [DeepCluster](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/deepcluster/README.md) | [deepcluster-sobel_resnet50_8xb64-steplr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/deepcluster/deepcluster-sobel_resnet50_8xb64-steplr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/deepcluster/deepcluster-sobel_resnet50_8xb64-steplr-200e_in1k-bb8681e2.pth) |
| [NPID](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/npid/README.md) | [npid_resnet50_8xb32-steplr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k_20220225-5fbbda2a.pth) \| [log](https://download.openmmlab.com/mmselfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k_20220215_185513.log.json) |
| [ODC](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/odc/README.md) | [odc_resnet50_8xb64-steplr-440e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/odc/odc_resnet50_8xb64-steplr-440e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/odc/odc_resnet50_8xb64-steplr-440e_in1k_20220225-a755d9c0.pth) \| [log](https://download.openmmlab.com/mmselfsup/odc/odc_resnet50_8xb64-steplr-440e_in1k_20220215_235245.log.json) |
| [SimCLR](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/README.md) | [simclr_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k_20220428-46ef6bb9.pth) \| [log](https://download.openmmlab.com/mmselfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k_20220411_182427.log.json) |
| | [simclr_resnet50_16xb256-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_16xb256-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/simclr/simclr_resnet50_16xb256-coslr-200e_in1k_20220428-8c24b063.pth) \| [log](https://download.openmmlab.com/mmselfsup/simclr/simclr_resnet50_16xb256-coslr-200e_in1k_20220423_205520.log.json) |
| [MoCo v2](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov2/README.md) | [mocov2_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov2/mocov2_resnet50_8xb32-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/moco/mocov2_resnet50_8xb32-coslr-200e_in1k_20220225-89e03af4.pth) \| [log](https://download.openmmlab.com/mmselfsup/moco/mocov2_resnet50_8xb32-coslr-200e_in1k_20220210_110905.log.json) |
| [BYOL](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/README.md) | [byol_resnet50_8xb32-accum16-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k_20220225-5c8b2c2e.pth) \| [log](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k_20220214_115709.log.json) |
| | [byol_resnet50_16xb256-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_16xb256-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_16xb256-coslr-200e_in1k_20220527-b6f8eedd.pth) \| [log](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_16xb256-coslr-200e_in1k_20220509_213052.log.json) |
| | [byol_resnet50_8xb32-accum16-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-300e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_8xb32-accum16-coslr-300e_in1k_20220225-a0daa54a.pth) \| [log](https://download.openmmlab.com/mmselfsup/byol/byol_resnet50_8xb32-accum16-coslr-300e_in1k_20220210_095852.log.json) |
| [SwAV](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/swav/README.md) | [swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96.py) | [model](https://download.openmmlab.com/mmselfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96_20220225-0497dd5d.pth) \| [log](https://download.openmmlab.com/mmselfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96_20220211_061131.log.json) |
| [DenseCL](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/densecl/README.md) | [densecl_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k_20220225-8c7808fe.pth) \| [log](https://download.openmmlab.com/mmselfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k_20220215_041207.log.json) |
| [SimSiam](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/README.md) | [simsiam_resnet50_8xb32-coslr-100e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k_20220225-68a88ad8.pth) \| [log](https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k_20220210_195405.log.json) |
| | [simsiam_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k_20220225-2f488143.pth) \| [log](https://download.openmmlab.com/mmselfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k_20220210_195402.log.json) |
| [BarlowTwins](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/barlowtwins/README.md) | [barlowtwins_resnet50_8xb256-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k_20220419-5ae15f89.pth) \| [log](https://download.openmmlab.com/mmselfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k_20220413_111555.log.json) |
| [MoCo v3](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov3/README.md) | [mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov3/mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224.py) | [model](https://download.openmmlab.com/mmselfsup/moco/mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224_20220225-e31238dd.pth) \| [log](https://download.openmmlab.com/mmselfsup/moco/mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224_20220222_160222.log.json) |
| [MAE](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mae/README.md) | [mae_vit-base-p16_8xb512-coslr-400e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mae/mae_vit-base-p16_8xb512-coslr-400e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-400e_in1k-224_20220223-85be947b.pth) \| [log](https://download.openmmlab.com/mmselfsup/mae/mae_vit-base-p16_8xb512-coslr-300e_in1k-224_20220210_140925.log.json) |
| [SimMIM](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simmim/README.md) | [simmim_swin-base_16xb128-coslr-100e_in1k-192](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192.py) | [model](https://download.openmmlab.com/mmselfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192_20220316-1d090125.pth) \| [log](https://download.openmmlab.com/mmselfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192_20220316-1d090125.log.json) |
| [CAE](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simmim/README.md) | [cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/cae/cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k.py) | [model](https://download.openmmlab.com/mmselfsup/cae/cae_vit-base-p16_16xb256-coslr-300e_in1k-224_20220427-4c786349.pth) \| [log](https://download.openmmlab.com/mmselfsup/cae/cae_vit-base-p16_16xb256-coslr-300e_in1k-224_20220427-4c786349.log.json) |
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Remarks:
[Docs] update README and model_zoo.md (#165) * [Docs] update README * [Docs] add simsiam logs * [Docs] add chinese version of model_zoo.md * [Docs] fix typo * [Benchmark] update SimSiam 100 epoch benchmark results * [Benchmark] update simsiam 100 epoch seg results
2022-01-10 16:40:47 +08:00
- The training details are recorded in the config names.
- You can click algorithm name to obtain more information.
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
## Benchmarks
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
In the following tables, we only display ImageNet linear evaluation, ImageNet fine-tuning, COCO17 object detection and instance segmentation, and PASCAL VOC12 Aug semantic segmentation. You can click algorithm name above to check more comprehensive benchmark results.
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
### ImageNet Linear Evaluation
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
If not specified, we use linear evaluation setting from [MoCo](http://openaccess.thecvf.com/content_CVPR_2020/papers/He_Momentum_Contrast_for_Unsupervised_Visual_Representation_Learning_CVPR_2020_paper.pdf) as default. Other settings are mentioned in Remarks.
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| Algorithm | Config | Remarks | Top-1 (%) |
| ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------- | --------- |
| Relative Location | [relative-loc_resnet50_8xb64-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k.py) | | 38.78 |
| Rotation Prediction | [rotation-pred_resnet50_8xb16-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k.py) | | 48.12 |
| DeepCluster | [deepcluster-sobel_resnet50_8xb64-steplr-200e_in1k.py](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/deepcluster/deepcluster-sobel_resnet50_8xb64-steplr-200e_in1k.py) | | 46.92 |
| NPID | [npid_resnet50_8xb32-steplr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py) | | 58.97 |
| ODC | [odc_resnet50_8xb64-steplr-440e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/odc/odc_resnet50_8xb64-steplr-440e_in1k.py) | | 53.43 |
| SimCLR | [simclr_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k.py) | SimSiam paper setting | 62.56 |
| | [simclr_resnet50_16xb256-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_16xb256-coslr-200e_in1k.py) | SimSiam paper setting | 66.66 |
| MoCo v2 | [mocov2_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov2/mocov2_resnet50_8xb32-coslr-200e_in1k.py) | | 67.58 |
Bump version to v0.9.1 (#322) * [Fix]: Set qkv bias to False for cae and True for mae (#303) * [Fix]: Add mmcls transformer layer choice * [Fix]: Fix transformer encoder layer bug * [Fix]: Change UT of cae * [Feature]: Change the file name of cosine annealing hook (#304) * [Feature]: Change cosine annealing hook file name * [Feature]: Add UT for cosine annealing hook * [Fix]: Fix lint * read tutorials and fix typo (#308) * [Fix] fix config errors in MAE (#307) * update readthedocs algorithm readme (#310) * [Docs] Replace markdownlint with mdformat (#311) * Replace markdownlint with mdformat to avoid installing ruby * fix typo * add 'ba' to codespell ignore-words-list * Configure Myst-parser to parse anchor tag (#309) * [Docs] rewrite install.md (#317) * rewrite the install.md * add faq.md * fix lint * add FAQ to README * add Chinese version * fix typo * fix format * remove modification * fix format * [Docs] refine README.md file (#318) * refine README.md file * fix lint * format language button * rename getting_started.md * revise index.rst * add model_zoo.md to index.rst * fix lint * refine readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update byol models and results (#319) * Update version information (#321) Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yi Lu <21515006@zju.edu.cn> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-06-01 09:59:05 +08:00
| BYOL | [byol_resnet50_8xb32-accum16-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k.py) | SimSiam paper setting | 71.72 |
| | [byol_resnet50_16xb256-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_16xb256-coslr-200e_in1k.py) | SimSiam paper setting | 71.88 |
| | [byol_resnet50_8xb32-accum16-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-300e_in1k.py) | SimSiam paper setting | 72.93 |
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| SwAV | [swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96.py) | SwAV paper setting | 70.47 |
| DenseCL | [densecl_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k.py) | | 63.62 |
| SimSiam | [simsiam_resnet50_8xb32-coslr-100e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py) | SimSiam paper setting | 68.28 |
| | [simsiam_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py) | SimSiam paper setting | 69.84 |
| Barlow Twins | [barlowtwins_resnet50_8xb256-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/barlowtwins/barlowtwins_resnet50_8xb256-coslr-300e_in1k.py) | Barlow Twins paper setting | 71.66 |
| MoCo v3 | [mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov3/mocov3_vit-small-p16_32xb128-fp16-coslr-300e_in1k-224.py) | MoCo v3 paper setting | 73.19 |
Bump version to v0.7.0 (#229) * [Enhance] add pre-commit hook for algo-readme and copyright (#213) * [Enhance] add test windows in workflows (#215) * [Enhance] add test windows in workflows * fix lint * add optional requirements * add try-except judgement * add opencv installation in windows test steps * fix path error on windows * update * update path * update * add pytest skip for algorithm test * update requirements/runtime.txt * update pytest skip * [Docs] translate 0_config.md into Chinese (#216) * [Docs] translate 0_config.md into Chinese * [Fix] fix format description in 0_config.md * Update: 0_config.md * [Fix] fix tsne 'no `init_cfg`' error (#222) * [Fix] fix tsne 'no init_cfg' and pool_type errors * [Refactor] fix linting of tsne vis * [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219) * [Docs] reorganizing OpenMMLab projects and update algorithms in readme * using small letters * fix typo * [Fix] fix image channel bgr/rgb bug and update benchmarks (#210) * [Fix] fix image channel bgr/rgb bug * update model zoo * update readme and metafile * [Fix] fix typo * [Fix] fix typo * [Fix] fix lint * modify Places205 directory according to the downloaded dataset * update results * [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218) * fig bug for prefetch_loader under multi-view setting * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Feature]: MAE official (#221) * [Feature]: MAE single image pre-training * [Fix]: Fix config * [Fix]: Fix dataset link * [Feature]: Add run * [Refactor]: Delete spot * [Feature]: ignore nohup output file * [Feature]: Add auto script to generate run cmd * [Refactor]: Refactor mae config file * [Feature]: sz20 settings * [Feature]: Add auto resume * [Fix]: Fix lint * [Feature]: Make git ignore txt * [Refactor]: Delete gpus in script * [Fix]: Make generate_cmd to add --async * [Feature]: Initial version of Vit fine-tune * [Fix]: Add 1424 specific settings * [Fix]: Fix missing file client bug for 1424 * [Feature]: 1424 customized settings * [Fix]: Make drop in eval to False * [Feature]: Change the finetune and pre-training settings * [Feature]: Add debug setting * [Refactor]: Refactor the model * [Feature]: Customized settings * [Feature]: Add A100 settings * [Fix]: Change mae to imagenet * [Feature]: Change mae pretrain num workers to 32 * [Feature]: Change num workers to 16 * [Feature]: Add A100 setting for pre_release ft version * [Feature]: Add img_norm_cfg * [Fix]: Fix mae cls test missing logits bug * [Fix]: Fix mae cls head bias initialize to zero * [Feature]: Rename mae config name * [Feature]: Add MAE README.md * [Fix]: Fix lint * [Feature]: Fix typo * [Fix]: Fix typo * [Feature]: Fix invalid link * [Fix]: Fix finetune config file name * [Feature]: Official pretrain v1 * [Feature]: Change log interval to 100 * [Feature]: pretrain 1600 epochs * [Fix]: Change encoder num head to 12 * [Feature]: Mix precision * [Feature]: Add default value to random masking * [Feature]: Official MAE finetune * [Feature]: Finetune img per gpu 32 * [Feature]: Add multi machine training for lincls * [Fix]: Fix lincls master port master addr * [Feature]: Change img per gpu to 128 * [Feature]: Add linear eval and Refactor * [Fix]: Fix debug mode * [Fix]: Delete MAE dataset in __init__.py * [Feature]: normalize pixel for mae * [Fix]: Fix lint * [Feature]: LARS for linear eval * [Feature]: Add lars for mae linear eval * [Feature]: Change mae linear lars num workers to 32 * [Feature]: Change mae linear lars num workers to 8 * [Feature]: log every 25 iter for mae linear eval lars * [Feature]: Add 1600 epoch and 800 epoch pretraining * [Fix]: Change linear eval to 902 * [Fix]: Add random flip to linear eval * [Fix]: delete fp16 in mae * [Refactor]: Change backbone to mmcls * [Fix]: Align finetune settings * [Fix]: replace timm trunc_normal with mmcv trunc_normal * [Fix]: Change finetune layer_decay to 0.65 * [Fix]: Delete pretrain last norm when global_pooling * [Fix]: set requires_grad of norm1 to False * [Fix]: delete norm1 * [Fix]: Fix docstring bug * [Fix]: Fix lint * [Fix]: Add external link * [Fix]: Delete auto_resume and reformat config readme. * [Fix]: Fix pytest bug * [Fix]: Fix lint * [Refactor]: Rename filename * [Feature]: Add docstring * [Fix]: Rename config file name * [Fix]: Fix name inconsistency bug * [Fix]: Change the default value of persistent_worker in builder to True * [Fix]: Change the default value of CPUS_PER_TASK to 5 * [Fix]: Add a blank line to line136 in tools/train.py * [Fix]: Fix MAE algorithm docstring format and add paper name and url * [Feature]: Add MAE paper name and link, and store mae teaser on github * [Refactor]: Delete mae.png * [Fix]: Fix config file name” * [Fix]: Fix name bug * [Refactor]: Change default GPUS to 8 * [Fix]: Abandon change to drop_last * [Fix]: Fix docstring in mae algorithm * [Fix]: Fix lint * [Fix]: Fix lint * [Fix]: Fix mae finetune algo type bug * [Feature]: Add unit test for algorithm * [Feature]: Add unit test for remaining parts * [Fix]: Fix lint * [Fix]: Fix typo * [Fix]: Delete some unnecessary modification in gitignore * [Feature]: Change finetune setting in mae algo to mixup setting * [Fix]: Change norm_pix_loss to norm_pix in pretrain head * [Fix]: Delete modification in dist_train_linear.sh * [Refactor]: Delete global pool in mae_cls_vit.py * [Fix]: Change finetune param to mixup in test_mae_classification * [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test * [Fix]: Change norm_pix_loss to norm_pix in unit test * [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head * [Refactor]: Construct 2d sin-cosine position embedding using torch * [Refactor]: Using classification and using mixup from mmcls * [Fix]: Fix lint * [Fix]: Add False to finetune mae linprobe‘ “ * [Fix]: Set drop_last to False * [Fix]: Fix MAE finetune layerwise lr bug * [Refactor]: Delete redundant MAE when registering MAE * [Refactor]: Split initialize_weights in MAE to submodules * [Fix]: Change the min_lr of mae pretrain to 0.0 * [Refactor]: Delete unused _init_weights in mae_cls_vit * [Refactor]: Change MAE cls vit to a more general name * [Feature]: Add Epoch Fix cosine annealing lr updater * [Fix]: Fix lint * [Feature]: Add layer wise lr decay in optimizer constructor * [Fix]: Fix lint * [Fix]: Fix set layer wise lr decay bug * [Fix]: Fix UT for MAE * [Fix]: Fix lint * [Fix]: update algorithm readme format for MAE * [Fix]: Fix isort * [Fix]: Add Returns inmae_pretrain_vit * [Fix]: Change bgr to rgb * [Fix]: Change norm pix to True * [Fix]: Use cls_token to linear prob * [Fix]: Delete mixup.py * [Fix]: Fix MAE readme * [Feature]: Delete linprobe * [Refactor]: Merge MAE head into one file * [Fix]: Fix lint * [Fix]: rename mae_pretrain_head to mae_head * [Fix]: Fix import error in __init__.py * [Feature]: skip MAE algo UT when running on windows * [Fix]: Fix UT bug * [Feature]: Update model_zoo * [Fix]: Rename MAE pretrain model name * [Fix]: Delete mae ft prefix * [Feature]: Change b to base * [Refactor]: Change b in MAE pt config to base * [Fix]: Fix typo in docstring * [Fix]: Fix name bug * [Feature]: Add new constructor for MAE finetune * [Fix]: Fix model_zoo link * [Fix]: Skip UT for MAE * [Fix]: Change fixed channel order to param Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn> * [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228) * [Feature]: Add set diff seeds to diff ranks * [Fix]: Set diff seed to diff workers * Bump version to v0.7.0 (#227) * Bump version to v0.7.0 * [Docs] update readme Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com> Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
2022-03-04 13:43:49 +08:00
### ImageNet Fine-tuning
Bump version to v0.9.1 (#322) * [Fix]: Set qkv bias to False for cae and True for mae (#303) * [Fix]: Add mmcls transformer layer choice * [Fix]: Fix transformer encoder layer bug * [Fix]: Change UT of cae * [Feature]: Change the file name of cosine annealing hook (#304) * [Feature]: Change cosine annealing hook file name * [Feature]: Add UT for cosine annealing hook * [Fix]: Fix lint * read tutorials and fix typo (#308) * [Fix] fix config errors in MAE (#307) * update readthedocs algorithm readme (#310) * [Docs] Replace markdownlint with mdformat (#311) * Replace markdownlint with mdformat to avoid installing ruby * fix typo * add 'ba' to codespell ignore-words-list * Configure Myst-parser to parse anchor tag (#309) * [Docs] rewrite install.md (#317) * rewrite the install.md * add faq.md * fix lint * add FAQ to README * add Chinese version * fix typo * fix format * remove modification * fix format * [Docs] refine README.md file (#318) * refine README.md file * fix lint * format language button * rename getting_started.md * revise index.rst * add model_zoo.md to index.rst * fix lint * refine readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update byol models and results (#319) * Update version information (#321) Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yi Lu <21515006@zju.edu.cn> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-06-01 09:59:05 +08:00
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| Algorithm | Config | Remarks | Top-1 (%) |
| --------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------- | --------- |
| MAE | [mae_vit-base-p16_8xb512-coslr-400e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mae/mae_vit-base-p16_8xb512-coslr-400e_in1k.py) | | 83.1 |
| SimMIM | [simmim_swin-base_16xb128-coslr-100e_in1k-192](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simmim/simmim_swin-base_16xb128-coslr-100e_in1k-192.py) | | 82.9 |
| CAE | [cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/cae/cae_vit-base-p16_8xb256-fp16-coslr-300e_in1k.py) | | 83.2 |
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
### COCO17 Object Detection and Instance Segmentation
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
In COCO17 object detection and instance segmentation task, we choose the evaluation protocol from [MoCo](http://openaccess.thecvf.com/content_CVPR_2020/papers/He_Momentum_Contrast_for_Unsupervised_Visual_Representation_Learning_CVPR_2020_paper.pdf), with Mask-RCNN FPN architecture. The results below are fine-tuned with the same [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/benchmarks/mmdetection/coco/mask_rcnn_r50_fpn_mstrain_1x_coco.py).
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
[Fix] fix links in .md files (#155)
2021-12-22 14:20:36 +08:00
| Algorithm | Config | mAP (Box) | mAP (Mask) |
| ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- | ---------- |
| Relative Location | [relative-loc_resnet50_8xb64-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k.py) | 37.5 | 33.7 |
| Rotation Prediction | [rotation-pred_resnet50_8xb16-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k.py) | 37.9 | 34.2 |
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| NPID | [npid_resnet50_8xb32-steplr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py) | 38.5 | 34.6 |
[Fix] fix links in .md files (#155)
2021-12-22 14:20:36 +08:00
| SimCLR | [simclr_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k.py) | 38.7 | 34.9 |
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| MoCo v2 | [mocov2_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov2/mocov2_resnet50_8xb32-coslr-200e_in1k.py) | 40.2 | 36.1 |
| BYOL | [byol_resnet50_8xb32-accum16-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k.py) | 40.9 | 36.8 |
| SwAV | [swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96.py) | 40.2 | 36.3 |
[Docs] update README and model_zoo.md (#165) * [Docs] update README * [Docs] add simsiam logs * [Docs] add chinese version of model_zoo.md * [Docs] fix typo * [Benchmark] update SimSiam 100 epoch benchmark results * [Benchmark] update simsiam 100 epoch seg results
2022-01-10 16:40:47 +08:00
| SimSiam | [simsiam_resnet50_8xb32-coslr-100e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py) | 38.6 | 34.6 |
[Fix] fix links in .md files (#155)
2021-12-22 14:20:36 +08:00
| | [simsiam_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py) | 38.8 | 34.9 |
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
### Pascal VOC12 Aug Semantic Segmentation
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.8.0 (#269) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * [Fix] fix codecov bug (#241) * [Fix] fix codecov bug * update comment * [Refactor] Using MMCls backbones (#233) * [Refactor] using backbones from MMCls * [Refactor] modify the unit test * [Fix] modify default setting of out_indices * [Docs] fix lint * [Refactor] modify super init * [Refactore] remove res_layer.py * using mmcv PatchEmbed * [Fix]: Fix outdated problem (#249) * [Fix]: Fix outdated problem * [Fix]: Update MoCov3 bibtex * [Fix]: Use abs path in README * [Fix]: Reformat MAE bibtex * [Fix]: Reformat MoCov3 bibtex * [Feature] Resume from the latest checkpoint automatically. (#245) * [Feature] Resume from the latest checkpoint automatically. * fix windows path problem * fix lint * add code reference * [Docs] add docstring for ResNet and ResNeXt (#252) * [Feature] support KNN benchmark (#243) * [Feature] support KNN benchmark * [Fix] add docstring and multi-machine testing * [Fix] fix lint * [Fix] change args format and check init_cfg * [Docs] add benchmark tutorial * [Docs] add benchmark results * [Feature]: SimMIM supported (#239) * [Feature]: SimMIM Pretrain * [Feature]: Add mix precision and 16x128 config * [Fix]: Fix config import bug * [Fix]: Fix config bug * [Feature]: Simim Finetune * [Fix]: Log every 100 * [Fix]: Fix eval problem * [Feature]: Add docstring for simmim * [Refactor]: Merge layer wise lr decay to Default constructor * [Fix]:Fix simmim evaluation bug * [Fix]: Change model to be compatible to latest version of mmcls * [Fix]: Fix lint * [Fix]: Rewrite forward_train for classification cls * [Feature]: Add UT * [Fix]: Fix lint * [Feature]: Add 32 gpus training for simmim ft * [Fix]: Rename mmcls classifier wrapper * [Fix]: Add docstring to SimMIMNeck * [Feature]: Generate docstring for the forward function of simmim encoder * [Fix]: Rewrite the class docstring for constructor * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Reformat config * [Fix]: Add img resolution * [Feature]: Add readme and metafile * [Fix]: Fix typo in README.md * [Fix]: Change BlackMaskGen to BlockwiseMaskGenerator * [Fix]: Change the name of SwinForSimMIM * [Fix]: Delete irrelevant files * [Feature]: Create extra transformerfinetuneconstructor * [Fix]: Fix lint * [Fix]: Update SimMIM README * [Fix]: Change SimMIMPretrainHead to SimMIMHead * [Fix]: Fix the docstring of ft constructor * [Fix]: Fix UT * [Fix]: Recover deletion Co-authored-by: Your <you@example.com> * [Fix] add seed to distributed sampler (#250) * [Fix] add seed to distributed sampler * fix lint * [Feature] Add ImageNet21k (#225) * solve memory leak by limited implementation * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Refactor] change args format to '--a-b' (#253) * [Refactor] change args format to `--a-b` * modify tsne script * modify 'sh' files * modify getting_started.md * modify getting_started.md * [Fix] fix 'mkdir' error in prepare_voc07_cls.sh (#261) * [Fix] fix positional parameter error (#260) * [Fix] fix command errors in benchmarks tutorial (#263) * [Docs] add brief installation steps in README.md (#265) * [Docs] add colab tutorial (#247) * [Docs] add colab tutorial * fix lint * modify the colab tutorial, using API to train the model * modify the description * remove # * modify the command * [Docs] translate 6_benchmarks.md into Chinese (#262) * [Docs] translate 6_benchmarks.md into Chinese * Update 6_benchmarks.md change 基准 to 基准评测 * Update 6_benchmarks.md (1) Add Chinese translation of ‘1 folder for ImageNet nearest-neighbor classification task’ (2) 数据预准备 -> 数据准备 * [Docs] remove install scripts in README (#267) * [Docs] Update version information in dev branch (#268) * update version to v0.8.0 * fix lint * [Fix]: Install the latest mmcls * [Fix]: Add SimMIM in RAEDME Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Your <you@example.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: RenQin <45731309+soonera@users.noreply.github.com> Co-authored-by: YuanLiuuuuuu <3463423099@qq.com>
2022-03-31 18:47:54 +08:00
In Pascal VOC12 Aug semantic segmentation task, we choose the evaluation protocol from [MMSeg](https://github.com/open-mmlab/mmsegmentation), with FCN architecture. The results below are fine-tuned with the same [config](https://github.com/open-mmlab/mmselfsup/blob/master/configs/benchmarks/mmsegmentation/voc12aug/fcn_r50-d8_512x512_20k_voc12aug.py).
[Feature]: Add docs and docker
2021-12-15 19:06:36 +08:00
Bump version to v0.7.0 (#229) * [Enhance] add pre-commit hook for algo-readme and copyright (#213) * [Enhance] add test windows in workflows (#215) * [Enhance] add test windows in workflows * fix lint * add optional requirements * add try-except judgement * add opencv installation in windows test steps * fix path error on windows * update * update path * update * add pytest skip for algorithm test * update requirements/runtime.txt * update pytest skip * [Docs] translate 0_config.md into Chinese (#216) * [Docs] translate 0_config.md into Chinese * [Fix] fix format description in 0_config.md * Update: 0_config.md * [Fix] fix tsne 'no `init_cfg`' error (#222) * [Fix] fix tsne 'no init_cfg' and pool_type errors * [Refactor] fix linting of tsne vis * [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219) * [Docs] reorganizing OpenMMLab projects and update algorithms in readme * using small letters * fix typo * [Fix] fix image channel bgr/rgb bug and update benchmarks (#210) * [Fix] fix image channel bgr/rgb bug * update model zoo * update readme and metafile * [Fix] fix typo * [Fix] fix typo * [Fix] fix lint * modify Places205 directory according to the downloaded dataset * update results * [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218) * fig bug for prefetch_loader under multi-view setting * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Feature]: MAE official (#221) * [Feature]: MAE single image pre-training * [Fix]: Fix config * [Fix]: Fix dataset link * [Feature]: Add run * [Refactor]: Delete spot * [Feature]: ignore nohup output file * [Feature]: Add auto script to generate run cmd * [Refactor]: Refactor mae config file * [Feature]: sz20 settings * [Feature]: Add auto resume * [Fix]: Fix lint * [Feature]: Make git ignore txt * [Refactor]: Delete gpus in script * [Fix]: Make generate_cmd to add --async * [Feature]: Initial version of Vit fine-tune * [Fix]: Add 1424 specific settings * [Fix]: Fix missing file client bug for 1424 * [Feature]: 1424 customized settings * [Fix]: Make drop in eval to False * [Feature]: Change the finetune and pre-training settings * [Feature]: Add debug setting * [Refactor]: Refactor the model * [Feature]: Customized settings * [Feature]: Add A100 settings * [Fix]: Change mae to imagenet * [Feature]: Change mae pretrain num workers to 32 * [Feature]: Change num workers to 16 * [Feature]: Add A100 setting for pre_release ft version * [Feature]: Add img_norm_cfg * [Fix]: Fix mae cls test missing logits bug * [Fix]: Fix mae cls head bias initialize to zero * [Feature]: Rename mae config name * [Feature]: Add MAE README.md * [Fix]: Fix lint * [Feature]: Fix typo * [Fix]: Fix typo * [Feature]: Fix invalid link * [Fix]: Fix finetune config file name * [Feature]: Official pretrain v1 * [Feature]: Change log interval to 100 * [Feature]: pretrain 1600 epochs * [Fix]: Change encoder num head to 12 * [Feature]: Mix precision * [Feature]: Add default value to random masking * [Feature]: Official MAE finetune * [Feature]: Finetune img per gpu 32 * [Feature]: Add multi machine training for lincls * [Fix]: Fix lincls master port master addr * [Feature]: Change img per gpu to 128 * [Feature]: Add linear eval and Refactor * [Fix]: Fix debug mode * [Fix]: Delete MAE dataset in __init__.py * [Feature]: normalize pixel for mae * [Fix]: Fix lint * [Feature]: LARS for linear eval * [Feature]: Add lars for mae linear eval * [Feature]: Change mae linear lars num workers to 32 * [Feature]: Change mae linear lars num workers to 8 * [Feature]: log every 25 iter for mae linear eval lars * [Feature]: Add 1600 epoch and 800 epoch pretraining * [Fix]: Change linear eval to 902 * [Fix]: Add random flip to linear eval * [Fix]: delete fp16 in mae * [Refactor]: Change backbone to mmcls * [Fix]: Align finetune settings * [Fix]: replace timm trunc_normal with mmcv trunc_normal * [Fix]: Change finetune layer_decay to 0.65 * [Fix]: Delete pretrain last norm when global_pooling * [Fix]: set requires_grad of norm1 to False * [Fix]: delete norm1 * [Fix]: Fix docstring bug * [Fix]: Fix lint * [Fix]: Add external link * [Fix]: Delete auto_resume and reformat config readme. * [Fix]: Fix pytest bug * [Fix]: Fix lint * [Refactor]: Rename filename * [Feature]: Add docstring * [Fix]: Rename config file name * [Fix]: Fix name inconsistency bug * [Fix]: Change the default value of persistent_worker in builder to True * [Fix]: Change the default value of CPUS_PER_TASK to 5 * [Fix]: Add a blank line to line136 in tools/train.py * [Fix]: Fix MAE algorithm docstring format and add paper name and url * [Feature]: Add MAE paper name and link, and store mae teaser on github * [Refactor]: Delete mae.png * [Fix]: Fix config file name” * [Fix]: Fix name bug * [Refactor]: Change default GPUS to 8 * [Fix]: Abandon change to drop_last * [Fix]: Fix docstring in mae algorithm * [Fix]: Fix lint * [Fix]: Fix lint * [Fix]: Fix mae finetune algo type bug * [Feature]: Add unit test for algorithm * [Feature]: Add unit test for remaining parts * [Fix]: Fix lint * [Fix]: Fix typo * [Fix]: Delete some unnecessary modification in gitignore * [Feature]: Change finetune setting in mae algo to mixup setting * [Fix]: Change norm_pix_loss to norm_pix in pretrain head * [Fix]: Delete modification in dist_train_linear.sh * [Refactor]: Delete global pool in mae_cls_vit.py * [Fix]: Change finetune param to mixup in test_mae_classification * [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test * [Fix]: Change norm_pix_loss to norm_pix in unit test * [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head * [Refactor]: Construct 2d sin-cosine position embedding using torch * [Refactor]: Using classification and using mixup from mmcls * [Fix]: Fix lint * [Fix]: Add False to finetune mae linprobe‘ “ * [Fix]: Set drop_last to False * [Fix]: Fix MAE finetune layerwise lr bug * [Refactor]: Delete redundant MAE when registering MAE * [Refactor]: Split initialize_weights in MAE to submodules * [Fix]: Change the min_lr of mae pretrain to 0.0 * [Refactor]: Delete unused _init_weights in mae_cls_vit * [Refactor]: Change MAE cls vit to a more general name * [Feature]: Add Epoch Fix cosine annealing lr updater * [Fix]: Fix lint * [Feature]: Add layer wise lr decay in optimizer constructor * [Fix]: Fix lint * [Fix]: Fix set layer wise lr decay bug * [Fix]: Fix UT for MAE * [Fix]: Fix lint * [Fix]: update algorithm readme format for MAE * [Fix]: Fix isort * [Fix]: Add Returns inmae_pretrain_vit * [Fix]: Change bgr to rgb * [Fix]: Change norm pix to True * [Fix]: Use cls_token to linear prob * [Fix]: Delete mixup.py * [Fix]: Fix MAE readme * [Feature]: Delete linprobe * [Refactor]: Merge MAE head into one file * [Fix]: Fix lint * [Fix]: rename mae_pretrain_head to mae_head * [Fix]: Fix import error in __init__.py * [Feature]: skip MAE algo UT when running on windows * [Fix]: Fix UT bug * [Feature]: Update model_zoo * [Fix]: Rename MAE pretrain model name * [Fix]: Delete mae ft prefix * [Feature]: Change b to base * [Refactor]: Change b in MAE pt config to base * [Fix]: Fix typo in docstring * [Fix]: Fix name bug * [Feature]: Add new constructor for MAE finetune * [Fix]: Fix model_zoo link * [Fix]: Skip UT for MAE * [Fix]: Change fixed channel order to param Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn> * [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228) * [Feature]: Add set diff seeds to diff ranks * [Fix]: Set diff seed to diff workers * Bump version to v0.7.0 (#227) * Bump version to v0.7.0 * [Docs] update readme Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com> Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
2022-03-04 13:43:49 +08:00
| Algorithm | Config | mIOU |
| ------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----- |
| Relative Location | [relative-loc_resnet50_8xb64-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/relative_loc/relative-loc_resnet50_8xb64-steplr-70e_in1k.py) | 63.49 |
| Rotation Prediction | [rotation-pred_resnet50_8xb16-steplr-70e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/rotation_pred/rotation-pred_resnet50_8xb16-steplr-70e_in1k.py) | 64.31 |
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| NPID | [npid_resnet50_8xb32-steplr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/npid/npid_resnet50_8xb32-steplr-200e_in1k.py) | 65.45 |
Bump version to v0.7.0 (#229) * [Enhance] add pre-commit hook for algo-readme and copyright (#213) * [Enhance] add test windows in workflows (#215) * [Enhance] add test windows in workflows * fix lint * add optional requirements * add try-except judgement * add opencv installation in windows test steps * fix path error on windows * update * update path * update * add pytest skip for algorithm test * update requirements/runtime.txt * update pytest skip * [Docs] translate 0_config.md into Chinese (#216) * [Docs] translate 0_config.md into Chinese * [Fix] fix format description in 0_config.md * Update: 0_config.md * [Fix] fix tsne 'no `init_cfg`' error (#222) * [Fix] fix tsne 'no init_cfg' and pool_type errors * [Refactor] fix linting of tsne vis * [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219) * [Docs] reorganizing OpenMMLab projects and update algorithms in readme * using small letters * fix typo * [Fix] fix image channel bgr/rgb bug and update benchmarks (#210) * [Fix] fix image channel bgr/rgb bug * update model zoo * update readme and metafile * [Fix] fix typo * [Fix] fix typo * [Fix] fix lint * modify Places205 directory according to the downloaded dataset * update results * [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218) * fig bug for prefetch_loader under multi-view setting * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Feature]: MAE official (#221) * [Feature]: MAE single image pre-training * [Fix]: Fix config * [Fix]: Fix dataset link * [Feature]: Add run * [Refactor]: Delete spot * [Feature]: ignore nohup output file * [Feature]: Add auto script to generate run cmd * [Refactor]: Refactor mae config file * [Feature]: sz20 settings * [Feature]: Add auto resume * [Fix]: Fix lint * [Feature]: Make git ignore txt * [Refactor]: Delete gpus in script * [Fix]: Make generate_cmd to add --async * [Feature]: Initial version of Vit fine-tune * [Fix]: Add 1424 specific settings * [Fix]: Fix missing file client bug for 1424 * [Feature]: 1424 customized settings * [Fix]: Make drop in eval to False * [Feature]: Change the finetune and pre-training settings * [Feature]: Add debug setting * [Refactor]: Refactor the model * [Feature]: Customized settings * [Feature]: Add A100 settings * [Fix]: Change mae to imagenet * [Feature]: Change mae pretrain num workers to 32 * [Feature]: Change num workers to 16 * [Feature]: Add A100 setting for pre_release ft version * [Feature]: Add img_norm_cfg * [Fix]: Fix mae cls test missing logits bug * [Fix]: Fix mae cls head bias initialize to zero * [Feature]: Rename mae config name * [Feature]: Add MAE README.md * [Fix]: Fix lint * [Feature]: Fix typo * [Fix]: Fix typo * [Feature]: Fix invalid link * [Fix]: Fix finetune config file name * [Feature]: Official pretrain v1 * [Feature]: Change log interval to 100 * [Feature]: pretrain 1600 epochs * [Fix]: Change encoder num head to 12 * [Feature]: Mix precision * [Feature]: Add default value to random masking * [Feature]: Official MAE finetune * [Feature]: Finetune img per gpu 32 * [Feature]: Add multi machine training for lincls * [Fix]: Fix lincls master port master addr * [Feature]: Change img per gpu to 128 * [Feature]: Add linear eval and Refactor * [Fix]: Fix debug mode * [Fix]: Delete MAE dataset in __init__.py * [Feature]: normalize pixel for mae * [Fix]: Fix lint * [Feature]: LARS for linear eval * [Feature]: Add lars for mae linear eval * [Feature]: Change mae linear lars num workers to 32 * [Feature]: Change mae linear lars num workers to 8 * [Feature]: log every 25 iter for mae linear eval lars * [Feature]: Add 1600 epoch and 800 epoch pretraining * [Fix]: Change linear eval to 902 * [Fix]: Add random flip to linear eval * [Fix]: delete fp16 in mae * [Refactor]: Change backbone to mmcls * [Fix]: Align finetune settings * [Fix]: replace timm trunc_normal with mmcv trunc_normal * [Fix]: Change finetune layer_decay to 0.65 * [Fix]: Delete pretrain last norm when global_pooling * [Fix]: set requires_grad of norm1 to False * [Fix]: delete norm1 * [Fix]: Fix docstring bug * [Fix]: Fix lint * [Fix]: Add external link * [Fix]: Delete auto_resume and reformat config readme. * [Fix]: Fix pytest bug * [Fix]: Fix lint * [Refactor]: Rename filename * [Feature]: Add docstring * [Fix]: Rename config file name * [Fix]: Fix name inconsistency bug * [Fix]: Change the default value of persistent_worker in builder to True * [Fix]: Change the default value of CPUS_PER_TASK to 5 * [Fix]: Add a blank line to line136 in tools/train.py * [Fix]: Fix MAE algorithm docstring format and add paper name and url * [Feature]: Add MAE paper name and link, and store mae teaser on github * [Refactor]: Delete mae.png * [Fix]: Fix config file name” * [Fix]: Fix name bug * [Refactor]: Change default GPUS to 8 * [Fix]: Abandon change to drop_last * [Fix]: Fix docstring in mae algorithm * [Fix]: Fix lint * [Fix]: Fix lint * [Fix]: Fix mae finetune algo type bug * [Feature]: Add unit test for algorithm * [Feature]: Add unit test for remaining parts * [Fix]: Fix lint * [Fix]: Fix typo * [Fix]: Delete some unnecessary modification in gitignore * [Feature]: Change finetune setting in mae algo to mixup setting * [Fix]: Change norm_pix_loss to norm_pix in pretrain head * [Fix]: Delete modification in dist_train_linear.sh * [Refactor]: Delete global pool in mae_cls_vit.py * [Fix]: Change finetune param to mixup in test_mae_classification * [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test * [Fix]: Change norm_pix_loss to norm_pix in unit test * [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head * [Refactor]: Construct 2d sin-cosine position embedding using torch * [Refactor]: Using classification and using mixup from mmcls * [Fix]: Fix lint * [Fix]: Add False to finetune mae linprobe‘ “ * [Fix]: Set drop_last to False * [Fix]: Fix MAE finetune layerwise lr bug * [Refactor]: Delete redundant MAE when registering MAE * [Refactor]: Split initialize_weights in MAE to submodules * [Fix]: Change the min_lr of mae pretrain to 0.0 * [Refactor]: Delete unused _init_weights in mae_cls_vit * [Refactor]: Change MAE cls vit to a more general name * [Feature]: Add Epoch Fix cosine annealing lr updater * [Fix]: Fix lint * [Feature]: Add layer wise lr decay in optimizer constructor * [Fix]: Fix lint * [Fix]: Fix set layer wise lr decay bug * [Fix]: Fix UT for MAE * [Fix]: Fix lint * [Fix]: update algorithm readme format for MAE * [Fix]: Fix isort * [Fix]: Add Returns inmae_pretrain_vit * [Fix]: Change bgr to rgb * [Fix]: Change norm pix to True * [Fix]: Use cls_token to linear prob * [Fix]: Delete mixup.py * [Fix]: Fix MAE readme * [Feature]: Delete linprobe * [Refactor]: Merge MAE head into one file * [Fix]: Fix lint * [Fix]: rename mae_pretrain_head to mae_head * [Fix]: Fix import error in __init__.py * [Feature]: skip MAE algo UT when running on windows * [Fix]: Fix UT bug * [Feature]: Update model_zoo * [Fix]: Rename MAE pretrain model name * [Fix]: Delete mae ft prefix * [Feature]: Change b to base * [Refactor]: Change b in MAE pt config to base * [Fix]: Fix typo in docstring * [Fix]: Fix name bug * [Feature]: Add new constructor for MAE finetune * [Fix]: Fix model_zoo link * [Fix]: Skip UT for MAE * [Fix]: Change fixed channel order to param Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn> * [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228) * [Feature]: Add set diff seeds to diff ranks * [Fix]: Set diff seed to diff workers * Bump version to v0.7.0 (#227) * Bump version to v0.7.0 * [Docs] update readme Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com> Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
2022-03-04 13:43:49 +08:00
| SimCLR | [simclr_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simclr/simclr_resnet50_8xb32-coslr-200e_in1k.py) | 64.03 |
Bump version to v0.9.0 (#299) * [Feature]: MAE pre-training with fp16 (#271) * [Feature]: MAE pre-training with fp16 * [Fix]: Fix lint * [Fix]: Fix SimMIM config link, and add SimMIM to model_zoo (#272) * [Fix]: Fix link error * [Fix]: Add SimMIM to model zoo * [Fix]: Fix lint * [Fix] fix 'no init_cfg' error for pre-trained model backbones (#256) * [UT] add unit test for apis (#276) * [UT] add unit test for apis * ignore pytest log * [Feature] Add extra dataloader settings in configs. (#264) * [Feature] support to set validation samples per gpu independently * set default to be cfg.data.samples_per_gpu * modify the tools/test.py * using 'train_dataloader', 'val_dataloader', 'test_dataloader' for specific settings * test 'evaluation' branch * [Fix]: Change imgs_per_gpu to samples_per_gpu MAE (#278) * [Feature]: Add SimMIM 192 pt 224 ft (#280) * [Feature]: Add SimMIM 192 pt 224 ft * [Feature]: Add simmim 192 pt 224 ft to readme * [Fix] fix key error bug when registering custom hooks (#273) * [UT] remove pytorch1.5 test (#288) * [Benchmark] rename linear probing config file names (#281) * [Benchmark] rename linear probing config file names * update config links * Avoid GPU memory leak with prefetch dataloader (#277) * [Feature] barlowtwins (#207) * [Fix]: Fix mmcls upgrade bug (#235) * [Feature]: Add multi machine dist_train (#232) * [Feature]: Add multi machine dist_train * [Fix]: Change bash to sh * [Fix]: Fix missing sh suffix * [Refactor]: Change bash to sh * [Refactor] Add unit test (#234) * [Refactor] add unit test * update workflow * update * [Fix] fix lint * update test * refactor moco and densecl unit test * fix lint * add unit test * update unit test * remove modification * [Feature]: Add MAE metafile (#238) * [Feature]: Add MAE metafile * [Fix]: Fix lint * [Fix]: Change LARS to AdamW in the metafile of MAE * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * Add barlowtwins * Add unit test for barlowtwins * Adjust training params * add decorator to pass CI * adjust params * add barlowtwins configs * revise LatentCrossCorrelationHead * modify ut to save memory * add metafile * add barlowtwins results to model zoo * add barlow twins to homepage * fix batch size bug * add algorithm readme * add type hints * reorganize the model zoo * remove one config * recover the config * add missing docstring * revise barlowtwins * reorganize coco and voc benchmark * add barlowtwins to index.rst * revise docstring Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> * [Fix] fix --local-rank (#290) * [UT] reduce memory usage while runing unit test (#291) * [Feature]: CAE Supported (#284) * [Feature]: Add mc * [Feature]: Add dataset of CAE * [Feature]: Init version of CAE * [Feature]: Add mc * [Fix]: Change beta to (0.9, 0.999) * [Fix]: New feature * [Fix]: Decouple the qkv bias * [Feature]: Decouple qkv bias in MultiheadAttention * [Feature]: New mask generator * [Fix]: Fix TransformEncoderLayer bug * [Feature]: Add MAE CAE linear prob * [Fix]: Fix config * [Fix]: Delete redundant mc * [Fix]: Add init value in mim cls vit * [Fix]: Fix cae ft config * [Fix]: Delete repeated init_values * [Fix]: Change bs from 64 to 128 in CAE ft * [Fix]: Add mc in cae pt * [Fix]: Fix momemtum update bug * [Fix]: Add no weight_decay for gamma * [Feature]: Add mc for cae pt * [Fix]: Delete mc * [Fix]: Delete redundant files * [Fix]: Fix lint * [Feature]: Add docstring to algo, backbone, neck and head * [Fix]: Fix lint * [Fix]: network * [Feature]: Add docstrings for network blocks * [Feature]: Add docstring to ToTensor * [Feature]: Add docstring to transoform * [Fix]: Add type hint to BEiTMaskGenerator * [Fix]: Fix lint * [Fix]: Add copyright to dalle_e * [Fix]: Fix BlockwiseMaskGenerator * [Feature]: Add UT for CAE * [Fix]: Fix dalle state_dict path not existed bug * [Fix]: Delete file_client_args related code * [Fix]: Remove redundant code * [Refactor]: Add fp16 to the name of cae pre-train config * [Refactor]: Use FFN from mmcv * [Refactor]: Change network_blocks to trasformer_blocks * [Fix]: Fix mask generator name bug * [Fix]: cae pre-train config bug * [Fix]: Fix docstring grammar * [Fix]: Fix mc related code * [Fix]: Add object parent to transform * [Fix]: Delete unnecessary modification * [Fix]: Change blockwisemask generator to simmim mask generator * [Refactor]: Change cae mae pretrain vit to cae mae vit * [Refactor]: Change lamb to lambd * [Fix]: Remove blank line * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Delete modification to swin * [Fix]: Fix lint * [Feature]: Add README and metafile * [Feature]: Update index.rst * [Fix]: Update model_zoo * [Fix]: Change MAE to CAE in algorithm * [Fix]: Change SimMIMMaskGenerator to CAEMaskGenerator * [Fix]: Fix model zoo * [Fix]: Change to dalle_encoder * [Feature]: Add download link for dalle * [Fix]: Fix lint * [Fix]: Fix UT * [Fix]: Update metafile * [Fix]: Change b to base * [Feature]: Add dalle download link in warning * [Fix] add arxiv link in readme Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> * [Enhance] update SimCLR models and results (#295) * [Enhance] update simclr models and results * [Fix] revise comments to indicate settings * Update version (#296) * [Feature]: Update to 0.9.0 * [Feature]: Add version constrain for mmcls * [Fix]: Fix bug * [Fix]: Fix version bug * [Feature]: Update version in install.md * update changelog * update readme * [Fix] fix uppercase * [Fix] fix uppercase * [Fix] fix uppercase * update version dependency * add cae to readme Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com> Co-authored-by: Yixiao Fang <36138628+fangyixiao18@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: xcnick <xcnick0412@gmail.com> Co-authored-by: fangyixiao18 <fangyx18@hotmail.com> Co-authored-by: Jiahao Xie <52497952+Jiahao000@users.noreply.github.com>
2022-04-29 20:01:30 +08:00
| MoCo v2 | [mocov2_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/mocov2/mocov2_resnet50_8xb32-coslr-200e_in1k.py) | 67.55 |
| BYOL | [byol_resnet50_8xb32-accum16-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/byol/byol_resnet50_8xb32-accum16-coslr-200e_in1k.py) | 67.16 |
| SwAV | [swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/swav/swav_resnet50_8xb32-mcrop-2-6-coslr-200e_in1k-224-96.py) | 63.73 |
| DenseCL | [densecl_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/densecl/densecl_resnet50_8xb32-coslr-200e_in1k.py) | 69.47 |
Bump version to v0.7.0 (#229) * [Enhance] add pre-commit hook for algo-readme and copyright (#213) * [Enhance] add test windows in workflows (#215) * [Enhance] add test windows in workflows * fix lint * add optional requirements * add try-except judgement * add opencv installation in windows test steps * fix path error on windows * update * update path * update * add pytest skip for algorithm test * update requirements/runtime.txt * update pytest skip * [Docs] translate 0_config.md into Chinese (#216) * [Docs] translate 0_config.md into Chinese * [Fix] fix format description in 0_config.md * Update: 0_config.md * [Fix] fix tsne 'no `init_cfg`' error (#222) * [Fix] fix tsne 'no init_cfg' and pool_type errors * [Refactor] fix linting of tsne vis * [Docs] reorganizing OpenMMLab projects and update algorithms in readme (#219) * [Docs] reorganizing OpenMMLab projects and update algorithms in readme * using small letters * fix typo * [Fix] fix image channel bgr/rgb bug and update benchmarks (#210) * [Fix] fix image channel bgr/rgb bug * update model zoo * update readme and metafile * [Fix] fix typo * [Fix] fix typo * [Fix] fix lint * modify Places205 directory according to the downloaded dataset * update results * [Fix] Fix the bug when using prefetch under multi-view methods, e.g., DenseCL (#218) * fig bug for prefetch_loader under multi-view setting * fix lint problem Co-authored-by: liming <liming.ai@bytedance.com> * [Feature]: MAE official (#221) * [Feature]: MAE single image pre-training * [Fix]: Fix config * [Fix]: Fix dataset link * [Feature]: Add run * [Refactor]: Delete spot * [Feature]: ignore nohup output file * [Feature]: Add auto script to generate run cmd * [Refactor]: Refactor mae config file * [Feature]: sz20 settings * [Feature]: Add auto resume * [Fix]: Fix lint * [Feature]: Make git ignore txt * [Refactor]: Delete gpus in script * [Fix]: Make generate_cmd to add --async * [Feature]: Initial version of Vit fine-tune * [Fix]: Add 1424 specific settings * [Fix]: Fix missing file client bug for 1424 * [Feature]: 1424 customized settings * [Fix]: Make drop in eval to False * [Feature]: Change the finetune and pre-training settings * [Feature]: Add debug setting * [Refactor]: Refactor the model * [Feature]: Customized settings * [Feature]: Add A100 settings * [Fix]: Change mae to imagenet * [Feature]: Change mae pretrain num workers to 32 * [Feature]: Change num workers to 16 * [Feature]: Add A100 setting for pre_release ft version * [Feature]: Add img_norm_cfg * [Fix]: Fix mae cls test missing logits bug * [Fix]: Fix mae cls head bias initialize to zero * [Feature]: Rename mae config name * [Feature]: Add MAE README.md * [Fix]: Fix lint * [Feature]: Fix typo * [Fix]: Fix typo * [Feature]: Fix invalid link * [Fix]: Fix finetune config file name * [Feature]: Official pretrain v1 * [Feature]: Change log interval to 100 * [Feature]: pretrain 1600 epochs * [Fix]: Change encoder num head to 12 * [Feature]: Mix precision * [Feature]: Add default value to random masking * [Feature]: Official MAE finetune * [Feature]: Finetune img per gpu 32 * [Feature]: Add multi machine training for lincls * [Fix]: Fix lincls master port master addr * [Feature]: Change img per gpu to 128 * [Feature]: Add linear eval and Refactor * [Fix]: Fix debug mode * [Fix]: Delete MAE dataset in __init__.py * [Feature]: normalize pixel for mae * [Fix]: Fix lint * [Feature]: LARS for linear eval * [Feature]: Add lars for mae linear eval * [Feature]: Change mae linear lars num workers to 32 * [Feature]: Change mae linear lars num workers to 8 * [Feature]: log every 25 iter for mae linear eval lars * [Feature]: Add 1600 epoch and 800 epoch pretraining * [Fix]: Change linear eval to 902 * [Fix]: Add random flip to linear eval * [Fix]: delete fp16 in mae * [Refactor]: Change backbone to mmcls * [Fix]: Align finetune settings * [Fix]: replace timm trunc_normal with mmcv trunc_normal * [Fix]: Change finetune layer_decay to 0.65 * [Fix]: Delete pretrain last norm when global_pooling * [Fix]: set requires_grad of norm1 to False * [Fix]: delete norm1 * [Fix]: Fix docstring bug * [Fix]: Fix lint * [Fix]: Add external link * [Fix]: Delete auto_resume and reformat config readme. * [Fix]: Fix pytest bug * [Fix]: Fix lint * [Refactor]: Rename filename * [Feature]: Add docstring * [Fix]: Rename config file name * [Fix]: Fix name inconsistency bug * [Fix]: Change the default value of persistent_worker in builder to True * [Fix]: Change the default value of CPUS_PER_TASK to 5 * [Fix]: Add a blank line to line136 in tools/train.py * [Fix]: Fix MAE algorithm docstring format and add paper name and url * [Feature]: Add MAE paper name and link, and store mae teaser on github * [Refactor]: Delete mae.png * [Fix]: Fix config file name” * [Fix]: Fix name bug * [Refactor]: Change default GPUS to 8 * [Fix]: Abandon change to drop_last * [Fix]: Fix docstring in mae algorithm * [Fix]: Fix lint * [Fix]: Fix lint * [Fix]: Fix mae finetune algo type bug * [Feature]: Add unit test for algorithm * [Feature]: Add unit test for remaining parts * [Fix]: Fix lint * [Fix]: Fix typo * [Fix]: Delete some unnecessary modification in gitignore * [Feature]: Change finetune setting in mae algo to mixup setting * [Fix]: Change norm_pix_loss to norm_pix in pretrain head * [Fix]: Delete modification in dist_train_linear.sh * [Refactor]: Delete global pool in mae_cls_vit.py * [Fix]: Change finetune param to mixup in test_mae_classification * [Fix]: Change norm_pix_loss to norm_pix of mae_pretrain_head in unit test * [Fix]: Change norm_pix_loss to norm_pix in unit test * [Refactor]: Create init_weights for mae_finetune_head and mae_linprobe_head * [Refactor]: Construct 2d sin-cosine position embedding using torch * [Refactor]: Using classification and using mixup from mmcls * [Fix]: Fix lint * [Fix]: Add False to finetune mae linprobe‘ “ * [Fix]: Set drop_last to False * [Fix]: Fix MAE finetune layerwise lr bug * [Refactor]: Delete redundant MAE when registering MAE * [Refactor]: Split initialize_weights in MAE to submodules * [Fix]: Change the min_lr of mae pretrain to 0.0 * [Refactor]: Delete unused _init_weights in mae_cls_vit * [Refactor]: Change MAE cls vit to a more general name * [Feature]: Add Epoch Fix cosine annealing lr updater * [Fix]: Fix lint * [Feature]: Add layer wise lr decay in optimizer constructor * [Fix]: Fix lint * [Fix]: Fix set layer wise lr decay bug * [Fix]: Fix UT for MAE * [Fix]: Fix lint * [Fix]: update algorithm readme format for MAE * [Fix]: Fix isort * [Fix]: Add Returns inmae_pretrain_vit * [Fix]: Change bgr to rgb * [Fix]: Change norm pix to True * [Fix]: Use cls_token to linear prob * [Fix]: Delete mixup.py * [Fix]: Fix MAE readme * [Feature]: Delete linprobe * [Refactor]: Merge MAE head into one file * [Fix]: Fix lint * [Fix]: rename mae_pretrain_head to mae_head * [Fix]: Fix import error in __init__.py * [Feature]: skip MAE algo UT when running on windows * [Fix]: Fix UT bug * [Feature]: Update model_zoo * [Fix]: Rename MAE pretrain model name * [Fix]: Delete mae ft prefix * [Feature]: Change b to base * [Refactor]: Change b in MAE pt config to base * [Fix]: Fix typo in docstring * [Fix]: Fix name bug * [Feature]: Add new constructor for MAE finetune * [Fix]: Fix model_zoo link * [Fix]: Skip UT for MAE * [Fix]: Change fixed channel order to param Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn> * [Feature]: Add diff seeds to diff ranks and set torch seed in worker_init_fn (#228) * [Feature]: Add set diff seeds to diff ranks * [Fix]: Set diff seed to diff workers * Bump version to v0.7.0 (#227) * Bump version to v0.7.0 * [Docs] update readme Co-authored-by: wang11wang <95845452+wang11wang@users.noreply.github.com> Co-authored-by: Liangyu Chen <45140242+c-liangyu@users.noreply.github.com> Co-authored-by: Ming Li <73068772+mitming@users.noreply.github.com> Co-authored-by: liming <liming.ai@bytedance.com> Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com> Co-authored-by: LIU Yuan <liuyuuan@pjlab.org.cn> Co-authored-by: liu yuan <liuyuan@pjlab.org.cn>
2022-03-04 13:43:49 +08:00
| SimSiam | [simsiam_resnet50_8xb32-coslr-100e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-100e_in1k.py) | 48.35 |
| | [simsiam_resnet50_8xb32-coslr-200e_in1k](https://github.com/open-mmlab/mmselfsup/blob/master/configs/selfsup/simsiam/simsiam_resnet50_8xb32-coslr-200e_in1k.py) | 46.27 |