Efficient PSD Constrained Asymmetric Metric Learning for Person Re-identification |
Problems with existing metric learning methods:
Contributions:
Advantages:
|
||||||||||||||||||||||||||||||||||||||||||||
|
||||||||||||||||||||||||||||||||||||||||||||
Table 1. Summary of results (%) for the proposed MLAPG algorithm
Note: CMC curves of the proposed MLAPG algorithm can be downloaded in cmc_curves.zip |
||||||||||||||||||||||||||||||||||||||||||||
Shengcai Liao, scliao@nlpr.ia.ac.cn National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. |
||||||||||||||||||||||||||||||||||||||||||||
[1]Shengcai Liao and Stan Z. Li, "Efficient PSD Constrained Asymmetric Metric Learning for Person Re-identification." In IEEE International Conference on Computer Vision (ICCV 2015), December 11-18, Santiago, Chile, 2015. [pdf][poster] |
||||||||||||||||||||||||||||||||||||||||||||
Last updated: Dec. 8, 2015 |