A Two-Stream Hybrid Convolution-Transformer Network Architecture for Clothing-Change Person Re-Identification-Reference-Cited by-同舟云学术

A Two-Stream Hybrid Convolution-Transformer Network Architecture for Clothing-Change Person Re-Identification

Published:2023 Issue: Volume: Page:1-15
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Wu Junyi¹^ORCID,Huang Yan²^ORCID,Gao Min³,Gao Zhipeng¹,Zhao Jianqiang¹^ORCID,Zhang Huiji¹,Zhang Anguo⁴^ORCID

Affiliation:

1. AI Research Center, Xiamen Meiya Pico Information Co., Ltd., Xiamen, China

2. Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

3. Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information, College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

4. School of Artificial Intelligence, Anhui University, Hefei, China

Funder

National Natural Science Foundation of China

Fellowship of China Post-Doctoral Science Foundation

International Post-Doctoral Exchange Fellowship Program (Talent-Introduction Program) of China

Special Research Assistant Program of the Chinese Academy of Sciences

Public Security Artificial Intelligence Infrastructure Support Platform

Major Science and Technology Project of State Development and Investment Group Co., Ltd.

Research and industrialization application project of trusted multimedia identification key technology based on deep learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/10313580.pdf?arnumber=10313580

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