Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification-Reference-Cited by-同舟云学术

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Strong but Simple Baseline With Dual-Granularity Triplet Loss for Visible-Thermal Person Re-Identification

Published:2021 Issue: Volume:28 Page:653-657
ISSN:1070-9908
Container-title:IEEE Signal Processing Letters
language:
Short-container-title:IEEE Signal Process. Lett.

Author:

Liu Haijun^ORCID,Chai Yanxia,Tan Xiaoheng,Li Dong^ORCID,Zhou Xichuan^ORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/97/9325893/09376983.pdf?arnumber=9376983

Cited by 51 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DMANet: Dual-modality alignment network for visible–infrared person re-identification;Pattern Recognition;2025-01

2. Visible-infrared person re-identification with complementary feature fusion and identity consistency learning;International Journal of Machine Learning and Cybernetics;2024-07-24

3. Multi-level self attention for unsupervised learning person re-identification;Multimedia Tools and Applications;2024-04-24

4. Learning dual attention enhancement feature for visible–infrared person re-identification;Journal of Visual Communication and Image Representation;2024-03

5. A visible-infrared clothes-changing dataset for person re-identification in natural scene;Neurocomputing;2024-02

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