DIMGNet: A Transformer-Based Network for Pedestrian Reidentification With Multi-Granularity Information Mutual Gain-Reference-Cited by-同舟云学术

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DIMGNet: A Transformer-Based Network for Pedestrian Reidentification With Multi-Granularity Information Mutual Gain

Published:2024 Issue: Volume:26 Page:6513-6528
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wang Runmin¹^ORCID,Zhu Zhenlin¹^ORCID,Zhu Yanbin¹^ORCID,Chen Hua¹^ORCID,Liao Yongzhong²^ORCID,Zhu Ziyu¹^ORCID,Ding Yajun¹^ORCID,Gao Changxin³^ORCID,Sang Nong³^ORCID

Affiliation:

1. School of Information Science and Engineering, Hunan Normal University, Changsha, China

2. School of Electronic Information, Hunan First Normal University, Changsha, China

3. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Key Research and Development Program of Changsha Science and Technology Bureau

Scientific Research Foundation of the Education Department of Hunan Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10399832.pdf?arnumber=10399832

Reference67 articles.

1. Attention-Based Neural Architecture Search for Person Re-Identification

2. Person Transfer GAN to Bridge Domain Gap for Person Re-identification

3. Performance Measures and a Data Set for Multi-target, Multi-camera Tracking

4. Pose-Guided Feature Alignment for Occluded Person Re-Identification

5. Key technology for intelligent video surveillance: a review of person re-identification

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