mmselfsup/docs/changelog.md

Changelog

MMSelfSup

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.