Rethinking Sampling Strategies for Unsupervised Person Re-Identification-Reference-Cited by-同舟云学术

Rethinking Sampling Strategies for Unsupervised Person Re-Identification

Author:

Han Xumeng¹^ORCID,Yu Xuehui¹,Li Guorong²^ORCID,Zhao Jian³^ORCID,Pan Gang⁴^ORCID,Ye Qixiang¹^ORCID,Jiao Jianbin¹^ORCID,Han Zhenjun¹^ORCID

Affiliation:

1. School of Electronic, Electrical and Communication Engineering, University of Chinese Academic of Sciences (UCAS), Beijing, China

2. School of Computer Science and Technology, UCAS, Beijing, China

3. Institute of North Electronic Equipment, Beijing, China

4. School of Future Technology and the College of Intelligence and Computing, Tianjin University, Tianjin, China

Funder

Youth Innovation Promotion Association CAS, the National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Young Elite Scientist Sponsorship Program of China Association for Science and Technology

Natural Science Foundation of Tianjin

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference68 articles.

1. In defense of the triplet loss for person re-identification;hermans;arXiv 1703 07737,2017

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