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