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@ -57,7 +57,7 @@ The new training/testing protocol split for CUHK03 in our paper is in the "evalu
|IDE| 22.2% | 21.0%|21.3% | 19.7%|"[Person Re-identification: Past, Present and Future](https://arxiv.org/abs/1610.02984)", Zheng Liang, Yi Yang, and Alexander G. Hauptmann, arXiv:1610.02984 [[code]](https://github.com/zhunzhong07/IDE-baseline-Market-1501)|
|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 [[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)|
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