mmselfsup/docs/en/changelog.md

Changelog

MMSelfSup

v0.6.0 (02/02/2022)

Highlight

• Support vision transformer based MoCo v3 (#194)
• Speed up training and start time (#181)
• Support cpu training (#188)

New Features

• Support vision transformer based MoCo v3 (#194)
• Support cpu training (#188)

Bug Fixes

• Fix issue (#159, #160) related bugs (#161)
• Fix missing prob assignment in RandomAppliedTrans (#173)
• Fix bug of showing k-means losses (#182)
• Fix bug in non-distributed multi-gpu training/testing (#189)
• Fix bug when loading cifar dataset (#191)
• Fix dataset.evaluate args bug (#192)

Improvements

• Cancel previous runs that are not completed in CI (#145)
• Enhance MIM function (#152)
• Skip CI when some specific files were changed (#154)
• Add drop_last when building eval optimizer (#158)
• Deprecate the support for "python setup.py test" (#174)
• Speed up training and start time (#181)
• Upgrade isort to 5.10.1 (#184)

Docs

• Refactor the directory structure of docs (#146)
• Fix readthedocs (#148, #149, #153)
• Fix typos and dead links in some docs (#155, #180, #195)
• Update training logs and benchmark results in model zoo (#157, #165, #195)
• Update and translate some docs into Chinese (#163, #164, #165, #166, #167, #168, #169, #172, #176, #178, #179)
• Update algorithm README with the new format (#177)

v0.5.0 (16/12/2021)

Highlight

• Released with code refactor.
• Add 3 new self-supervised learning algorithms.
• Support benchmarks with MMDet and MMSeg.
• Add comprehensive documents.

Refactor

• Merge redundant dataset files.
• Adapt to new version of MMCV and remove old version related codes.
• Inherit MMCV BaseModule.
• Optimize directory.
• Rename all config files.

New Features

• Add SwAV, SimSiam, DenseCL algorithms.
• Add t-SNE visualization tools.
• Support MMCV version fp16.

Benchmarks

• More benchmarking results, including classification, detection and segmentation.
• Support some new datasets in downstream tasks.
• Launch MMDet and MMSeg training with MIM.

Docs

• Refactor README, getting_started, install, model_zoo files.
• Add data_prepare file.
• Add comprehensive tutorials.

OpenSelfSup (History)

v0.3.0 (14/10/2020)

Highlight

• Support Mixed Precision Training
• Improvement of GaussianBlur doubles the training speed
• More benchmarking results

Bug Fixes

• Fix bugs in moco v2, now the results are reproducible.
• Fix bugs in byol.

New Features

• Mixed Precision Training
• Improvement of GaussianBlur doubles the training speed of MoCo V2, SimCLR, BYOL
• More benchmarking results, including Places, VOC, COCO

v0.2.0 (26/6/2020)

Highlights

• Support BYOL
• Support semi-supervised benchmarks

Bug Fixes

• Fix hash id in publish_model.py

New Features

• Support BYOL.
• Separate train and test scripts in linear/semi evaluation.
• Support semi-supevised benchmarks: benchmarks/dist_train_semi.sh.
• Move benchmarks related configs into configs/benchmarks/.
• Provide benchmarking results and model download links.
• Support updating network every several iterations.
• Support LARS optimizer with nesterov.
• Support excluding specific parameters from LARS adaptation and weight decay required in SimCLR and BYOL.