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# Bags of Tricks and A Strong ReID Baseline
Paper: "Bags of Tricks and A Strong Baseline for Person Re-identification"
Paper: "Bags of Tricks and A Strong Baseline for Deep Person Re-identification"
The codes are expanded on a [ReID-baseline](https://github.com/L1aoXingyu/reid_baseline) , which is open sourced by our co-first author [Xingyu Liao](https://github.com/L1aoXingyu).
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| +Center loss | 94.5 (85.9) | 86.4 (76.4) |
| +Reranking | 95.4 (94.2) | 90.3 (89.1) |
[model(Market1501)]()
[model(Market1501)](https://drive.google.com/open?id=1hn0sXLZ5yJcxtmuY-ItQfYD7hBtHwt7A)
[model(DukeMTMC-reID)]()
[model(DukeMTMC-reID)](https://drive.google.com/open?id=1LARvQe-gUbflbanidUM0keKmHoKTpLUj)
## Get Started
The designed architecture follows this guide [PyTorch-Project-Template](https://github.com/L1aoXingyu/PyTorch-Project-Template), you can check each folder's purpose by yourself.