Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification-Reference-Cited by-同舟云学术

Sampling and Re-Weighting: Towards Diverse Frame Aware Unsupervised Video Person Re-Identification

Published:2022 Issue: Volume:24 Page:4250-4261
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Xie Pengyu¹^ORCID,Xu Xin¹^ORCID,Wang Zheng²,Yamasaki Toshihiko³

Affiliation:

1. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. Department of Information and Communication Engineering and Research Institute for an Inclusive Society through Engineering (RIISE), University of Tokyo, Bunkyo-ku, Tokyo, Japan

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/9687854/09807391.pdf?arnumber=9807391

Reference62 articles.

1. Equidistance constrained metric learning for person re-identification

2. Rank-in-Rank Loss for Person Re-identification

3. Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification

4. Unsupervised Person Re-identification

5. Generalizing a Person Retrieval Model Hetero- and Homogeneously

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