Confidence-Guided Centroids for Unsupervised Person Re-Identification-Reference-Cited by-同舟云学术

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Confidence-Guided Centroids for Unsupervised Person Re-Identification

Published:2024 Issue: Volume:19 Page:6471-6483
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Miao Yunqi¹^ORCID,Deng Jiankang²^ORCID,Ding Guiguang³^ORCID,Han Jungong⁴^ORCID

Affiliation:

1. Warwick Manufacturing Group (WMG), The University of Warwick, Coventry, U.K.

2. Department of Computing, Imperial College London, London, U.K.

3. School of Software, Tsinghua University, Beijing, China

4. Department of Computer Science, The University of Sheffield, Sheffield, U.K.

Funder

National Natural Science Foundation of China

State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10556608.pdf?arnumber=10556608

Reference54 articles.

1. Deep Learning for Person Re-identification: A Survey and Outlook

2. Person Re-identification in the Wild

3. Harmonious Attention Network for Person Re-identification

4. Self-paced contrastive learning with hybrid memory for domain adaptive object re-ID;Ge

5. IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID

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