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KaiyangZhou 2019-02-03 14:21:00 +00:00
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@ -19,6 +19,7 @@ It has the following features:
- state-of-the-art training techniques.
## Updates
- 03-02-2019: [Added random erasing and staged learning rate training](https://github.com/KaiyangZhou/deep-person-reid/issues/110).
- 22-01-2019: Added [Market1501+500K](https://github.com/KaiyangZhou/deep-person-reid/issues/107).
- 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).