Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification-Reference-Cited by-同舟云学术

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Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification

Published:2024 Issue: Volume:19 Page:6280-6292
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Wang Qizao¹^ORCID,Qian Xuelin²^ORCID,Li Bin¹^ORCID,Xue Xiangyang¹^ORCID,Fu Yanwei³^ORCID

Affiliation:

1. School of Computer Science and Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China

2. School of Automation, Northwestern Polytechnical University, Xi’an, China

3. School of Data Science and Fudan ISTBI—ZJNU Algorithm Centre for Brain-Inspired Intelligence, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Shanghai Municipal Commission of Economy and Informatization

Shanghai Research and Innovation Functional Program

Fundamental Research Funds for the Central Universities

Shanghai Technology Development and Entrepreneurship Platform for Neuromorphic and AI SoC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/10206/10319981/10557733.pdf?arnumber=10557733

Reference68 articles.

1. Harmonious Attention Network for Person Re-identification

2. Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)

3. Interaction-And-Aggregation Network for Person Re-Identification

4. Leader-Based Multi-Scale Attention Deep Architecture for Person Re-Identification

5. Learning Discriminative Features with Multiple Granularities for Person Re-Identification

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