Joint deep learning of angular loss and hard sample mining for person re-identification-Reference-Cited by-同舟云学术

Joint deep learning of angular loss and hard sample mining for person re-identification

Published:2020-01-09 Issue:1 Volume:38 Page:417-426
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Wang Yuanyuan¹²,Wang Zhijian²,Jiang Mingxin³,Chen Liqi¹,Shen Tianhao¹,Zhang Wenyang¹

Affiliation:

1. College of Computer and Software Engineering, Huaiyin Institute of Technology, Huaian, China

2. College of Computer and Information, Hohai University, Nanjing, China

3. College of Electronic Information Engineering, Huaiyin Institute of Technology, Huaian, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference46 articles.

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2. Q. Xiao , H. Luo and C. Zhang , Margin sample mining loss: A deep learning based method for person re-identification. arXiv preprint arXiv:1710.00478, (2017).

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4. A discriminatively learned cnn embedding for person reidentification;Zheng;ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM),2017

5. D. Cheng , Y. Gong , S. Zhou , J. Wang and N. Zheng , Person re-identification by multi-channel parts-based cnn with improved triplet loss function. in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition 12(9) (2016), 1335–1344.

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