Camera Contrast Learning for Unsupervised Person Re-Identification
Author:
Affiliation:
1. School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore
2. School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China
3. NCS Pte Ltd., NCS Hub, Singapore
Funder
Singapore Telecommunications Limited
Singapore Government through the Industry Alignment Fund—Industry Collaboration Projects
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Media Technology
Link
http://xplorestaging.ieee.org/ielx7/76/10207864/10026842.pdf?arnumber=10026842
Reference80 articles.
1. Scalable Person Re-identification: A Benchmark
2. Unsupervised Person Re-identification
3. Disentanglement-based cross-domain feature augmentation for effective unsupervised domain adaptive person re-identification;zhang;arXiv 2103 13917,2021
4. Joint Detection and Identification Feature Learning for Person Search
5. SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-Identification
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