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@ -73,6 +73,7 @@ You can also obtain the person mask of CUHK03-NP from [CUHK03-NP-Mask](https://g
|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% | 57.5%| "[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 Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, arXiv 2018|
|DGNet| - | - | 65.6% | 61.1%| "[Joint Discriminative and Generative Learning for Person Re-identification](https://arxiv.org/abs/1904.07223)", Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang and Jan Kautz, CVPR 2019 (Oral)|
|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|