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[Doc] Update `README.md` in configs according to latest standard. (#1233) * fix README.md in configs * fix README.md in configs * modify [ALGORITHM] to [BACKBONE] in backbone config README.md
2022-01-25 20:45:39 +08:00
# OCRNet
[Object-Contextual Representations for Semantic Segmentation](https://arxiv.org/abs/1909.11065)
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## Introduction
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
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comment tag (#505)
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<!-- [ALGORITHM] -->
[Improvement] Add tags for each README.md (#340)
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[Enhancement] Change readme style and Update metafiles. (#895) * [Enhancement] Change readme style and prepare for metafiles update. * Update apcnet github repo url. * add code snippet. * split code snippet & official repo. * update md2yml hook. * Update metafiles. * Add converted from attribute. * process conflict. * Put defualt variable value. * update bisenet v2 metafile. * checkout to ubuntu environment. * pop empty attribute & make task attribute list. * update readme style * update readme style * update metafiles Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-09-28 16:25:37 +08:00
<a href="https://github.com/openseg-group/OCNet.pytorch">Official Repo</a>
<a href="https://github.com/open-mmlab/mmsegmentation/blob/v0.17.0/mmseg/models/decode_heads/ocr_head.py#L86">Code Snippet</a>
[Docs] Add abstract and image for every paper (#1060) * add abstract and main figure * add abstract and main figure
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## Abstract
[Fix] Add <!-- [ABSTRACT] --> in metafile #1127
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<!-- [ABSTRACT] -->
Update pre-commit yaml and md2yml.py
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In this paper, we address the problem of semantic segmentation and focus on the context aggregation strategy for robust segmentation. Our motivation is that the label of a pixel is the category of the object that the pixel belongs to. We present a simple yet effective approach, object-contextual representations, characterizing a pixel by exploiting the representation of the corresponding object class. First, we construct object regions based on a feature map supervised by the ground-truth segmentation, and then compute the object region representations. Second, we compute the representation similarity between each pixel and each object region, and augment the representation of each pixel with an object contextual representation, which is a weighted aggregation of all the object region representations according to their similarities with the pixel. We empirically demonstrate that the proposed approach achieves competitive performance on six challenging semantic segmentation benchmarks: Cityscapes, ADE20K, LIP, PASCAL VOC 2012, PASCAL-Context and COCO-Stuff. Notably, we achieved the \\nth{2} place on the Cityscapes leader-board with a single model.
[Docs] Add abstract and image for every paper (#1060) * add abstract and main figure * add abstract and main figure
2021-11-30 20:34:45 +08:00
<!-- [IMAGE] -->
Update pre-commit yaml and md2yml.py
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[Docs] Add abstract and image for every paper (#1060) * add abstract and main figure * add abstract and main figure
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<div align=center>
<img src="https://user-images.githubusercontent.com/24582831/142902197-b06b1e04-57ab-44ac-adc8-cea6695bb236.png" width="70%"/>
</div>
[Doc] Update `README.md` in configs according to latest standard. (#1233) * fix README.md in configs * fix README.md in configs * modify [ALGORITHM] to [BACKBONE] in backbone config README.md
2022-01-25 20:45:39 +08:00
## Citation
[Enhancement] Change readme style and Update metafiles. (#895) * [Enhancement] Change readme style and prepare for metafiles update. * Update apcnet github repo url. * add code snippet. * split code snippet & official repo. * update md2yml hook. * Update metafiles. * Add converted from attribute. * process conflict. * Put defualt variable value. * update bisenet v2 metafile. * checkout to ubuntu environment. * pop empty attribute & make task attribute list. * update readme style * update readme style * update metafiles Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>
2021-09-28 16:25:37 +08:00
[Doc] Update `README.md` in configs according to latest standard. (#1233) * fix README.md in configs * fix README.md in configs * modify [ALGORITHM] to [BACKBONE] in backbone config README.md
2022-01-25 20:45:39 +08:00
```bibtex
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
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@article{YuanW18,
title={Ocnet: Object context network for scene parsing},
author={Yuhui Yuan and Jingdong Wang},
booktitle={arXiv preprint arXiv:1809.00916},
year={2018}
}
@article{YuanCW20,
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title={Object-Contextual Representations for Semantic Segmentation},
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
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author={Yuhui Yuan and Xilin Chen and Jingdong Wang},
booktitle={ECCV},
year={2020}
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}
```
## Results and models
### Cityscapes
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
2020-08-14 13:16:27 +08:00
#### HRNet backbone
[Improvement] Add markdown linter and fix linting errors (#171) * [Improvement] Add markdown linter and fix linting errors * fixed pip
2020-10-07 19:50:16 +08:00
Update pre-commit yaml and md2yml.py
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| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
| ------ | ------------------ | --------- | ------: | -------- | -------------- | ----: | ------------: | -------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| OCRNet | HRNetV2p-W18-Small | 512x1024 | 40000 | 3.5 | 10.45 | 74.30 | 75.95 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes/ocrnet_hr18s_512x1024_40k_cityscapes_20200601_033304-fa2436c2.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_40k_cityscapes/ocrnet_hr18s_512x1024_40k_cityscapes_20200601_033304.log.json) |
| OCRNet | HRNetV2p-W18 | 512x1024 | 40000 | 4.7 | 7.50 | 77.72 | 79.49 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes/ocrnet_hr18_512x1024_40k_cityscapes_20200601_033320-401c5bdd.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_40k_cityscapes/ocrnet_hr18_512x1024_40k_cityscapes_20200601_033320.log.json) |
| OCRNet | HRNetV2p-W48 | 512x1024 | 40000 | 8 | 4.22 | 80.58 | 81.79 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes/ocrnet_hr48_512x1024_40k_cityscapes_20200601_033336-55b32491.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_40k_cityscapes/ocrnet_hr48_512x1024_40k_cityscapes_20200601_033336.log.json) |
| OCRNet | HRNetV2p-W18-Small | 512x1024 | 80000 | - | - | 77.16 | 78.66 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x1024_80k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_80k_cityscapes/ocrnet_hr18s_512x1024_80k_cityscapes_20200601_222735-55979e63.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_80k_cityscapes/ocrnet_hr18s_512x1024_80k_cityscapes_20200601_222735.log.json) |
| OCRNet | HRNetV2p-W18 | 512x1024 | 80000 | - | - | 78.57 | 80.46 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes/ocrnet_hr18_512x1024_80k_cityscapes_20200614_230521-c2e1dd4a.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_80k_cityscapes/ocrnet_hr18_512x1024_80k_cityscapes_20200614_230521.log.json) |
| OCRNet | HRNetV2p-W48 | 512x1024 | 80000 | - | - | 80.70 | 81.87 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes/ocrnet_hr48_512x1024_80k_cityscapes_20200601_222752-9076bcdf.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_80k_cityscapes/ocrnet_hr48_512x1024_80k_cityscapes_20200601_222752.log.json) |
| OCRNet | HRNetV2p-W18-Small | 512x1024 | 160000 | - | - | 78.45 | 79.97 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x1024_160k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_160k_cityscapes/ocrnet_hr18s_512x1024_160k_cityscapes_20200602_191005-f4a7af28.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x1024_160k_cityscapes/ocrnet_hr18s_512x1024_160k_cityscapes_20200602_191005.log.json) |
| OCRNet | HRNetV2p-W18 | 512x1024 | 160000 | - | - | 79.47 | 80.91 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes/ocrnet_hr18_512x1024_160k_cityscapes_20200602_191001-b9172d0c.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x1024_160k_cityscapes/ocrnet_hr18_512x1024_160k_cityscapes_20200602_191001.log.json) |
| OCRNet | HRNetV2p-W48 | 512x1024 | 160000 | - | - | 81.35 | 82.70 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes/ocrnet_hr48_512x1024_160k_cityscapes_20200602_191037-dfbf1b0c.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x1024_160k_cityscapes/ocrnet_hr48_512x1024_160k_cityscapes_20200602_191037.log.json) |
init commit
2020-07-07 20:52:19 +08:00
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
2020-08-14 13:16:27 +08:00
#### ResNet backbone
Update pre-commit yaml and md2yml.py
2022-07-05 15:58:48 +08:00
| Method | Backbone | Crop Size | Batch Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
| ------ | -------- | --------- | ---------- | ------- | -------- | -------------- | ----- | ------------: | ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| OCRNet | R-101-D8 | 512x1024 | 8 | 40000 | - | - | 80.09 | - | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_r101-d8_512x1024_40k_b8_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_40k_b8_cityscapes/ocrnet_r101-d8_512x1024_40k_b8_cityscapes_20200717_110721-02ac0f13.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_40k_b8_cityscapes/ocrnet_r101-d8_512x1024_40k_b8_cityscapes_20200717_110721.log.json) |
| OCRNet | R-101-D8 | 512x1024 | 16 | 40000 | 8.8 | 3.02 | 80.30 | - | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_r101-d8_512x1024_40k_b16_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_40k_b16_cityscapes/ocrnet_r101-d8_512x1024_40k_b16_cityscapes_20200723_193726-db500f80.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_40k_b16_cityscapes/ocrnet_r101-d8_512x1024_40k_b16_cityscapes_20200723_193726.log.json) |
| OCRNet | R-101-D8 | 512x1024 | 16 | 80000 | 8.8 | 3.02 | 80.81 | - | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_r101-d8_512x1024_80k_b16_cityscapes.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_80k_b16_cityscapes/ocrnet_r101-d8_512x1024_80k_b16_cityscapes_20200723_192421-78688424.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_r101-d8_512x1024_80k_b16_cityscapes/ocrnet_r101-d8_512x1024_80k_b16_cityscapes_20200723_192421.log.json) |
add more results of OCRNet (#20) * update the HRNet-OCR & add ResNet-101-OCR * revise the script * add the results of resnet-101+ocr * add cascade ocr, aspp ocr * add comparison table * move comparison table * support ocr+decoder * revise the ocrnet_sep_aspp * update the results of ocrnet * update the results of ocrnet * add sep-ocr-variants * add bs2x exp of deeplabv3/v3+ * apply sep-conv in ocr module * update the results * update the results * update the results of OCRNet * update the results of OCRNet * correct the results * verify the release branch * init the release branch * add more results of ocrnet and ocrnetplus * resolve the conflicts * rename OCRNetPlus as OCRNet+ * fix the format * fix the lint issues * fix the lint issues * fix the lint issues * fix the lint isort issues * fix the lint yapf issues * fix the format issues * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * remove the changes by the master branch * add the logs folder to .gitignore * recover .gitignore * update readme * update readme * reset the cudnn_benchmark * revise the README of OCRNet * revise the name * revise the reference of OCRNet * revise the Figure of OCRNet+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * update the results of OCR/OCR+ * fix the format issue * fix the format issue * remove the ocr+ * update the results * update the results * fix the conflicts * fix the lint issue * fix the lint issue * fix the lint issue * fix the lint issue * fix the inconsistency * add urls to README * clean the code * remove the schedule configs * clean the custom code * clean up * remove ocr.png Co-authored-by: Jiarui XU <xvjiarui0826@gmail.com>
2020-08-14 13:16:27 +08:00
init commit
2020-07-07 20:52:19 +08:00
### ADE20K
[Improvement] Add markdown linter and fix linting errors (#171) * [Improvement] Add markdown linter and fix linting errors * fixed pip
2020-10-07 19:50:16 +08:00
Update pre-commit yaml and md2yml.py
2022-07-05 15:58:48 +08:00
| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
| ------ | ------------------ | --------- | ------: | -------- | -------------- | ----: | ------------: | --------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| OCRNet | HRNetV2p-W18-Small | 512x512 | 80000 | 6.7 | 28.98 | 35.06 | 35.80 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x512_80k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_80k_ade20k/ocrnet_hr18s_512x512_80k_ade20k_20200615_055600-e80b62af.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_80k_ade20k/ocrnet_hr18s_512x512_80k_ade20k_20200615_055600.log.json) |
| OCRNet | HRNetV2p-W18 | 512x512 | 80000 | 7.9 | 18.93 | 37.79 | 39.16 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x512_80k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_80k_ade20k/ocrnet_hr18_512x512_80k_ade20k_20200615_053157-d173d83b.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_80k_ade20k/ocrnet_hr18_512x512_80k_ade20k_20200615_053157.log.json) |
| OCRNet | HRNetV2p-W48 | 512x512 | 80000 | 11.2 | 16.99 | 43.00 | 44.30 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x512_80k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_80k_ade20k/ocrnet_hr48_512x512_80k_ade20k_20200615_021518-d168c2d1.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_80k_ade20k/ocrnet_hr48_512x512_80k_ade20k_20200615_021518.log.json) |
| OCRNet | HRNetV2p-W18-Small | 512x512 | 160000 | - | - | 37.19 | 38.40 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x512_160k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_160k_ade20k/ocrnet_hr18s_512x512_160k_ade20k_20200615_184505-8e913058.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_160k_ade20k/ocrnet_hr18s_512x512_160k_ade20k_20200615_184505.log.json) |
| OCRNet | HRNetV2p-W18 | 512x512 | 160000 | - | - | 39.32 | 40.80 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x512_160k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_160k_ade20k/ocrnet_hr18_512x512_160k_ade20k_20200615_200940-d8fcd9d1.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_160k_ade20k/ocrnet_hr18_512x512_160k_ade20k_20200615_200940.log.json) |
| OCRNet | HRNetV2p-W48 | 512x512 | 160000 | - | - | 43.25 | 44.88 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x512_160k_ade20k.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_160k_ade20k/ocrnet_hr48_512x512_160k_ade20k_20200615_184705-a073726d.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_160k_ade20k/ocrnet_hr48_512x512_160k_ade20k_20200615_184705.log.json) |
init commit
2020-07-07 20:52:19 +08:00
### Pascal VOC 2012 + Aug
[Improvement] Add markdown linter and fix linting errors (#171) * [Improvement] Add markdown linter and fix linting errors * fixed pip
2020-10-07 19:50:16 +08:00
Update pre-commit yaml and md2yml.py
2022-07-05 15:58:48 +08:00
| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download |
| ------ | ------------------ | --------- | ------: | -------- | -------------- | ----: | ------------: | ---------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| OCRNet | HRNetV2p-W18-Small | 512x512 | 20000 | 3.5 | 31.55 | 71.70 | 73.84 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x512_20k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_20k_voc12aug/ocrnet_hr18s_512x512_20k_voc12aug_20200617_233913-02b04fcb.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_20k_voc12aug/ocrnet_hr18s_512x512_20k_voc12aug_20200617_233913.log.json) |
| OCRNet | HRNetV2p-W18 | 512x512 | 20000 | 4.7 | 19.91 | 74.75 | 77.11 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x512_20k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_20k_voc12aug/ocrnet_hr18_512x512_20k_voc12aug_20200617_233932-8954cbb7.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_20k_voc12aug/ocrnet_hr18_512x512_20k_voc12aug_20200617_233932.log.json) |
| OCRNet | HRNetV2p-W48 | 512x512 | 20000 | 8.1 | 17.83 | 77.72 | 79.87 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x512_20k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_20k_voc12aug/ocrnet_hr48_512x512_20k_voc12aug_20200617_233932-9e82080a.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_20k_voc12aug/ocrnet_hr48_512x512_20k_voc12aug_20200617_233932.log.json) |
| OCRNet | HRNetV2p-W18-Small | 512x512 | 40000 | - | - | 72.76 | 74.60 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18s_512x512_40k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_40k_voc12aug/ocrnet_hr18s_512x512_40k_voc12aug_20200614_002025-42b587ac.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18s_512x512_40k_voc12aug/ocrnet_hr18s_512x512_40k_voc12aug_20200614_002025.log.json) |
| OCRNet | HRNetV2p-W18 | 512x512 | 40000 | - | - | 74.98 | 77.40 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr18_512x512_40k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_40k_voc12aug/ocrnet_hr18_512x512_40k_voc12aug_20200614_015958-714302be.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr18_512x512_40k_voc12aug/ocrnet_hr18_512x512_40k_voc12aug_20200614_015958.log.json) |
| OCRNet | HRNetV2p-W48 | 512x512 | 40000 | - | - | 77.14 | 79.71 | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/ocrnet/ocrnet_hr48_512x512_40k_voc12aug.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_40k_voc12aug/ocrnet_hr48_512x512_40k_voc12aug_20200614_015958-255bc5ce.pth) \| [log](https://download.openmmlab.com/mmsegmentation/v0.5/ocrnet/ocrnet_hr48_512x512_40k_voc12aug/ocrnet_hr48_512x512_40k_voc12aug_20200614_015958.log.json) |