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@ -48,10 +48,20 @@ The new training/testing protocol split for CUHK03 in our paper is in the "evalu
### State-of-the-art
| | Labeled | detected|
| -------| ----- | ---- |
|#Training | 7,368 | 7,365|
|#Query | 1,400 | 1,400|
|#Gallery | 5,328 | 5,332|
|Methods | Labeled | Labeled| detected | detected| Reference|
| -------| ----- | ---- |---- |---- | |
| | Rank@1 | mAP| Rank@1 | mAP| |
|BOW + XQDA | 7.93% | 7.29%|6.36% | 6.39%|"[Scalable person re-identification: a benchmark](http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7410490)", Zheng Liang, Shen Liyue, Tian Lu, Wang Shengjin, Wang Jingdong and Tian, Qi, ICCV 2015 [[project]](http://www.liangzheng.org/Project/project_reid.html)|
|LOMO + XQDA [3] | 14.8% | 13.6%|12.8% | 11.5%|"[Person Re-identification by Local Maximal Occurrence Representation and Metric Learning](https://arxiv.org/abs/1406.4216)", Liao Shengcai, Hu Yang, Zhu Xiangyu and Li Stan Z, CVPR 2015 [[project]](http://www.cbsr.ia.ac.cn/users/scliao/projects/lomo_xqda/index.html)|
|IDE_ResNet_50 + Euclidean | 22.2% | 21.0%|21.3% | 19.7%|
|IDE_ResNet_50 + XQDA + re-ranking | 38.1% | 40.3%|34.7% | 37.4%|
================================================================