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@ -62,14 +62,14 @@ If you use CUHK03-NP in your experiment, please consider citing:
|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|
|HA-CNN| 44.4%| 41.0% |41.7% |38.6%| "[Harmonious Attention Network for Person Re-Identification](https://arxiv.org/pdf/1802.08122.pdf)", Wei Li1 Xiatian Zhu2 Shaogang Gong1, CVPR 2018|
|HCN+XQDA+RR| 43.7%| 45.3%| 44.0%| 46.9%| "[HIERARCHICAL CROSS NETWORK FOR PERSON RE-IDENTIFICATION](https://arxiv.org/pdf/1712.06820.pdf)", Huan-Cheng Hsu1, Ching-Hang Chen2, Hsiao-Rong Tyan3, Hong-Yuan Mark Liao, arxiv 2017|
|HCN+XQDA+RR| 43.7%| 45.3%| 44.0%| 46.9%| "[HIERARCHICAL CROSS NETWORK FOR PERSON RE-IDENTIFICATION](https://arxiv.org/pdf/1712.06820.pdf)", Huan-Cheng Hsu, Ching-Hang Chen, Hsiao-Rong Tyan, Hong-Yuan Mark Liao, arxiv 2017|
|MLFN| 54.7% | 49.2%| 52.8%| 47.8%| "[Multi-Level Factorisation Net for Person Re-Identification](https://arxiv.org/pdf/1803.09132.pdf)", Xiaobin Chang, Timothy M. Hospedales, Tao Xiang， CVPR 2018|
|DaRe| 58.1% | 53.7% | 55.1% | 51.3%| "[Resource Aware Person Re-identification across Multiple Resolutions](http://www.cs.cornell.edu/~gaohuang/papers/Anytime-ReID.pdf)", Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen. CVPR 2018|
|TriNet+RE| 58.14% | 53.83% | 55.50% | 50.74%| "[Random Erasing Data Augmentation](https://arxiv.org/abs/1708.04896)", Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang, arXiv 2017|
|TriNet+RR+RE| 63.93% | 65.05% | 64.43% | 64.75%| "[Random Erasing Data Augmentation](https://arxiv.org/abs/1708.04896)", Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang, arXiv 2017|
|PCB (RPP)| - | - | 63.7% | 67.5%| "[Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)](https://arxiv.org/pdf/1711.09349.pdf)", Yifan Sun, Liang Zheng, Yi Yang, Qi Tian, Shengjin Wang, arXiv 2017|
|HPM+HRE| - | - | 63.2% | 59.7%| "[Horizontal Pyramid Matching for Person Re-identification](https://arxiv.org/pdf/1804.05275.pdf)", Yang Fu1, Yunchao Wei1, Yuqian Zhou1, Honghui Shi, arXiv 2018|
|MGN| 68.0% | 67.4% | 66.8% | 66%| "[Learning Discriminative Features with Multiple Granularity for Person Re-Identification](https://arxiv.org/pdf/1804.01438.pdf)", Guanshuo Wang1, Yufeng Yuan2, Xiong Chen2, Jiwei Li2, Xi Zhou, arXiv 2018|
|HPM+HRE| - | - | 63.2% | 59.7%| "[Horizontal Pyramid Matching for Person Re-identification](https://arxiv.org/pdf/1804.05275.pdf)", Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, arXiv 2018|
|MGN| 68.0% | 67.4% | 66.8% | 66%| "[Learning Discriminative Features with Multiple Granularity for Person Re-Identification](https://arxiv.org/pdf/1804.01438.pdf)", Guanshuo Wang, Yufeng Yuan, Xiong Chen, Jiwei Li, Xi Zhou, arXiv 2018|
|DaRe(R)+RE+RR| 72.9% | 73.7% | 69.8% | 71.2%| "[Resource Aware Person Re-identification across Multiple Resolutions](http://www.cs.cornell.edu/~gaohuang/papers/Anytime-ReID.pdf)", Yan Wang, Lequn Wang, Yurong You, Xu Zou, Vincent Chen. CVPR 2018|
- RR (Re-ranking) Re-ranking person re-identification with k-reciprocal encoding. Z. Zhong, L. Zheng, D. Cao, and S. Li. CVPR 2017. [[code]](https://github.com/zhunzhong07/person-re-ranking)