DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search-Reference-Cited by-同舟云学术

DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search

Published:2023-06-01 Issue:6 Volume:45 Page:7319-7337
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Han Chuchu¹^ORCID,Zheng Zhedong²^ORCID,Su Kai³,Yu Dongdong³,Yuan Zehuan³,Gao Changxin¹^ORCID,Sang Nong¹^ORCID,Yang Yi⁴^ORCID

Affiliation:

1. Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China

2. Sea-NExT Joint Lab, School of Computing, National University of Singapore, Singapore

3. ByteDance, Shanghai, China

4. School of Computer Science, Zhejiang University, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

111 Project on Computational Intelligence and Intelligent Control

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10120646/09944858.pdf?arnumber=9944858

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