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KaiyangZhou 2019-01-07 08:53:19 +00:00
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@ -19,7 +19,7 @@ It has the following features:
- state-of-the-art training techniques.
## Updates
- 06-01-2019: Released [Awesome-ReID](AWESOME_REID.md), a collection of ReID-related research with links to codes and perps.
- 06-01-2019: Released [Awesome-ReID](AWESOME_REID.md), a collection of ReID-related research with links to codes and papers.
- 26-11-2018: Released pretrained weights (imagenet & reid) for [shufflenet](torchreid/models/shufflenet.py).
- 23-11-2018: Released imagenet-pretrained weights for [resnext50_32x4d](torchreid/models/resnext.py).
- 11-11-2018: Added multi-dataset training; Added cython code for cuhk03-style evaluation; Wrapped dataloader construction to Image/Video-DataManager; Wrapped argparse to [args.py](args.py); Added [MLFN (CVPR'18)](https://arxiv.org/abs/1803.09132).