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@ -58,6 +58,7 @@ The new training/testing protocol split for CUHK03 in our paper is in the "evalu
|IDE+XQ.+re-ranking | 38.1% | 40.3%|34.7% | 37.4%| "[Re-ranking Person Re-identification with k-reciprocal Encoding](http://zhunzhong.site/paper/re-ranking-cvpr.pdf)", Zhun Zhong, Liang Zheng, Donglin Cao,Shaozi Li, CVPR 2017 [[code]](https://github.com/zhunzhong07/person-re-ranking)|
|PAN| 36.9% | 35.0%|36.3% | 34.0%| "[Pedestrian Alignment Network for Person Re-identification](https://arxiv.org/abs/1707.00408)", Zhedong Zheng, Liang Zheng, Yi Yang, arXiv:1707.00408 [[code]](https://github.com/layumi/Pedestrian_Alignment)|
|PAN+re-ranking| 43.9% | 45.8%|41.9% | 43.8%| "[Pedestrian Alignment Network for Person Re-identification](https://arxiv.org/abs/1707.00408)", Zhedong Zheng, Liang Zheng, Yi Yang, arXiv:1707.00408 [[code]](https://github.com/layumi/Pedestrian_Alignment)|
|DPFL | 43.0% | 40.5%|40.7% | 37.0%| "[Person Re-Identification by Deep Learning Multi-Scale Representations](http://www.eecs.qmul.ac.uk/~sgg/papers/ChenEtAl_ICCV2017WK_CHI.pdf?nsukey=bFKy637SdfiMPVNHqNPm9DbM4V%2BJvHS3xsL4zYv0aecUKkedzKZC304%2FT4Ot96qbKCoD%2BbcV7OA92VISMCiqLzSj4%2BBCbF3cYAmodWYkUhcK%2FFYRtZ3LLKff1Fb0GVNplfrcVq%2B%2BJJ2QO5uMDyiIFth9%2BAhb8Ib%2FZ0%2FkZyqB9rnsLKHkBXa6SI5OMMibGklQ)", Yanbei Chen, Xiatian Zhu, Shaogang Gong|
|SVDNet| 40.93 | 37.83|41.5% | 37.26%| "[SVDNet for Pedestrian Retrieval](https://arxiv.org/abs/1703.05693)", Sun Yifan, Zheng Liang, Deng Weijian, Wang Shengjin, ICCV 2017|
|SVDNet+re-ranking| 47.93 | 50.05|46.43% | 48.95%| "[SVDNet for Pedestrian Retrieval](https://arxiv.org/abs/1703.05693)", Sun Yifan, Zheng Liang, Deng Weijian, Wang Shengjin, ICCV 2017|
|SVDNet+XQDA| 44.07 | 40.06|42.71% | 39.08%| "[SVDNet for Pedestrian Retrieval](https://arxiv.org/abs/1703.05693)", Sun Yifan, Zheng Liang, Deng Weijian, Wang Shengjin, ICCV 2017|