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@ -70,10 +70,13 @@ The new training/testing protocol split for CUHK03 in our paper is in the "evalu
|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| 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)|
|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| |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| 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+re-rank| 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|
|TriNet+Random Erasing| 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+Random Erasing| 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+Random Erasing+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| |TriNet+Random Erasing+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| |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|
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## IDE Baseline + Re-ranking ## IDE Baseline + Re-ranking