- 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 interations.
- Support LARS optimizer with nesterov.
- Support excluding specific parameters from LARS adaptation and weight decay required in SimCLR and BYOL.