- Support MAE Reconstructed Image Visualization (#376)
- Fix args/cfg bug in extract.py, use cfg.work_dir to save files (#357)
- Fix SimMIM mask generator config bug (#360)
- Update BYOL model and results (#319)
- Refine some documentation
- Update BYOL models and results (#319)
- Fix typo in tutotial (#308)
- Configure Myst-parser to parse anchor tag (#309)
- Update readthedocs algorithm README (#310)
- Rewrite install.md (#317)
- refine README.md file (#318)
- Support CAE (#284)
- Support Barlow twins (#207)
- Add SimMIM 192 pretrain and 224 fine-tuning results (#280)
- Add MAE pretrain with fp16 (#271)
- Fix args error (#290)
- Change imgs_per_gpu to samples_per_gpu in MAE config (#278)
- Avoid GPU memory leak with prefetch dataloader (#277)
- Fix key error bug when registering custom hooks (#273)
- Update SimCLR models and results (#295)
- Reduce memory usage while running unit test (#291)
- Remove pytorch1.5 test (#288)
- Rename linear probing config file names (#281)
- add unit test for apis (#276)
- Fix SimMIM config link, and add SimMIM to model_zoo (#272)
- Support SimMIM (#239)
- Add KNN benchmark, support KNN test with checkpoint and extracted backbone weights (#243)
- Support ImageNet-21k dataset (#225)
- Support SimMIM (#239)
- Add KNN benchmark, support KNN test with checkpoint and extracted backbone weights (#243)
- Support ImageNet-21k dataset (#225)
- Resume latest checkpoint automatically (#245)
- Add seed to distributed sampler (#250)
- Fix positional parameter error in dist_test_svm_epoch.sh (#260)
- Fix 'mkdir' error in prepare_voc07_cls.sh (#261)
- Update args format from command line (#253)
- Fix config typos for rotation prediction and deepcluster (#200)
- Fix image channel bgr/rgb bug and update benchmarks (#210)
- Fix the bug when using prefetch under multi-view methods (#218)
- Fix tsne 'no init_cfg' error (#222)
- Deprecate
imgs_per_gpuand usesamples_per_gpu(#204) - Update the installation of MMCV (#208)
- Add pre-commit hook for algo-readme and copyright (#213)
- Add test Windows in workflows (#215)
- Translate 0_config.md into Chinese (#216)
- Reorganizing OpenMMLab projects and update algorithms in readme (#219)
- Support vision transformer based MoCo v3 (#194)
- Speed up training and start time (#181)
- Support cpu training (#188)
- 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.evaluateargs bug (#192)
- 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_lastwhen building eval optimizer (#158) - Deprecate the support for "python setup.py test" (#174)
- Speed up training and start time (#181)
- Upgrade
isortto 5.10.1 (#184)
- 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)
- Released with code refactor.
- Add 3 new self-supervised learning algorithms.
- Support benchmarks with MMDet and MMSeg.
- Add comprehensive documents.
- 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.
- Add SwAV, SimSiam, DenseCL algorithms.
- Add t-SNE visualization tools.
- Support MMCV version fp16.
- More benchmarking results, including classification, detection and segmentation.
- Support some new datasets in downstream tasks.
- Launch MMDet and MMSeg training with MIM.
- Refactor README, getting_started, install, model_zoo files.
- Add data_prepare file.
- Add comprehensive tutorials.
- Support Mixed Precision Training
- Improvement of GaussianBlur doubles the training speed
- More benchmarking results
- Fix bugs in moco v2, now the results are reproducible.
- Fix bugs in byol.
- Mixed Precision Training
- Improvement of GaussianBlur doubles the training speed of MoCo V2, SimCLR, BYOL
- More benchmarking results, including Places, VOC, COCO
- Support BYOL
- Support semi-supervised benchmarks
- Fix hash id in publish_model.py
- 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.