A Generative-Based Image Fusion Strategy for Visible-Infrared Person Re-Identification-Reference-Cited by-同舟云学术

A Generative-Based Image Fusion Strategy for Visible-Infrared Person Re-Identification

Published:2024-01 Issue:1 Volume:34 Page:518-533
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Qi Jia¹^ORCID,Liang Tengfei¹^ORCID,Liu Wu²^ORCID,Li Yidong¹^ORCID,Jin Yi¹^ORCID

Affiliation:

1. Key Laboratory of Big Data and Artificial Intelligence in Transportation, Ministry of Education, and the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China

2. JD Explore Academy, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10382161/10155164.pdf?arnumber=10155164

Reference91 articles.

1. A survey of approaches and trends in person re-identification

2. Person re-identification: Past, present and future;Zheng;arXiv:1610.02984,2016

3. Deep Learning for Person Re-identification: A Survey and Outlook

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

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

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