Learning to Purification for Unsupervised Person Re-Identification-Reference-Cited by-同舟云学术

Learning to Purification for Unsupervised Person Re-Identification

Published:2023 Issue: Volume:32 Page:3338-3353
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lan Long¹^ORCID,Teng Xiao¹^ORCID,Zhang Jing²^ORCID,Zhang Xiang¹^ORCID,Tao Dacheng³^ORCID

Affiliation:

1. Institute for Quantum Information, and the State Key Laboratory of High Performance Computing, National University of Defense Technology, Changsha, China

2. School of Computer Science, Faculty of Engineering, The University of Sydney, Darlington, NSW, Australia

3. JD Explore Academy, Beijing, China

Funder

National Grand Research and Development Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10137428.pdf?arnumber=10137428

Reference74 articles.

1. Unsupervised Person Re-Identification via Softened Similarity Learning

2. Scalable Person Re-identification: A Benchmark

3. A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification

4. Deep Residual Learning for Image Recognition

5. Energy clustering for unsupervised person re-identification

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