mirrors
/
person-re-ranking
mirror of https://github.com/zhunzhong07/person-re-ranking
1
0
Fork 0
Code Issues Projects Releases Wiki Activity

Update README.md

pull/25/head
zhun zhong 2017-05-05 15:12:55 +08:00 committed by GitHub
parent 8f4413e5ca
commit 7fc5b7ff95
1 changed files with 5 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
README.md
View File

@ -119,7 +119,9 @@ For Market-1501, these results are better than those reported in our paper, sinc
| | Labeled | Labeled| detected | detected|
| -------| ----- | ---- |---- |---- |
|Methods | Rank@1 | mAP| Rank@1 | mAP|
|LOMO + XQDA [1] | 14.8% | 13.6%|12.8% | 11.5%|
|BOW + XQDA [1] | -% | -%|6.36% | 6.39%|
|BOW + XQDA + re-ranking | -% | -%|8.29% | 8.81%|
|LOMO + XQDA [3] | 14.8% | 13.6%|12.8% | 11.5%|
|LOMO + XQDA + re-ranking | 19.1% | 20.8%|16.6% | 17.8%|
|IDE_CaffeNet + Euclidean | 15.6% | 14.9%| 15.1% | 14.2%|
|IDE_CaffeNet + Euclidean + re-ranking | 19.1% | 21.3%|19.3% | 20.6%|
@ -132,10 +134,11 @@ For Market-1501, these results are better than those reported in our paper, sinc
### References
[1] Person re-identification by local maximal occurrence representation and metric learning. Liao S, Hu Y, Zhu X, et al. In CVPR. 2015
[1] Scalable Person Re-identification: A Benchmark. Zheng, Liang and Shen, Liyue and Tian, Lu and Wang, Shengjin and Wang, Jingdong and Tian, Qi. In ICCV 2015.
[2] Sparse contextual activation for efficient visual re-ranking. Bai, Song and Bai, Xiang. IEEE Transactions on Image Processing. 2016
[3] Person re-identification by local maximal occurrence representation and metric learning. Liao S, Hu Y, Zhu X, et al. In CVPR. 2015
### Contact us
If you have any questions about this code, please do not hesitate to contact us.