Learning Invariance From Generated Variance for Unsupervised Person Re-Identification
Author:
Affiliation:
1. Inria and Université Côte d'Azur, Valbonne, France
2. European Systems Integration, Le Cannet, France
Funder
National Research Agency
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/ielx7/34/10120646/09970293.pdf?arnumber=9970293
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3. Random Erasing Data Augmentation
4. Learning to adapt invariance in memory for person re-identification;zhong;IEEE Trans Pattern Anal Mach Intell,2021
5. Domain adaptation through synthesis for unsupervised person re-identification;bak;Proc Eur Conf Comput Vis,2018
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