Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification
Author:
Affiliation:
1. College of Computer Science, Sichuan University
2. Zhejiang Lab,China
Funder
NSFC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878429.pdf?arnumber=9878429
Reference34 articles.
1. Towards Open-World Person Re-Identification by One-Shot Group-Based Verification
2. Reidentification by Relative Distance Comparison
3. Robust Person Re-Identification by Modelling Feature Uncertainty
4. PurifyNet: A Robust Person Re-Identification Model With Noisy Labels
5. Partial Person Re-Identification
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