A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-Identification-Reference-Cited by-同舟云学术

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A Video Is Worth Three Views: Trigeminal Transformers for Video-Based Person Re-Identification

Published:2024-09 Issue:9 Volume:25 Page:12818-12828
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Liu Xuehu¹,Zhang Pingping²^ORCID,Yu Chenyang³^ORCID,Qian Xuesheng⁴,Yang Xiaoyun⁵,Lu Huchuan³^ORCID

Affiliation:

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

2. School of Artificial Intelligence, Dalian University of Technology, Dalian, China

3. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

4. CAS Intellicloud Ltd., Shanghai, China

5. Remark Holdings, London, U.K.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10659279/10534084.pdf?arnumber=10534084

Reference57 articles.

1. Multi-Granularity Mutual Learning Network for Object Re-Identification

2. A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

3. A Survey of Open-World Person Re-Identification

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

5. Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification

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