Pose-Guided Modality-Invariant Feature Alignment for Visible–Infrared Object Re-Identification-Reference-Cited by-同舟云学术

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Pose-Guided Modality-Invariant Feature Alignment for Visible–Infrared Object Re-Identification

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Min¹^ORCID,Sun Yeqing¹^ORCID,Wang Xueping²^ORCID,Bian Yuan¹^ORCID,Zhang Zhu¹^ORCID,Wang Yaonan¹^ORCID

Affiliation:

1. College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China

2. College of Information Science and Engineering and Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Hunan Normal University, Changsha, Hunan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Hunan Provincial Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10490225.pdf?arnumber=10490225

Reference53 articles.

1. Self-Regulation Feature Network for Person Reidentification

2. An Image–Text Dual-Channel Union Network for Person Re-Identification

3. A Two-Stage Noise-Tolerant Paradigm for Label Corrupted Person Re-Identification

4. Learning Person Re-Identification Models From Videos With Weak Supervision

5. Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency

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