Learning Invariance From Generated Variance for Unsupervised Person Re-Identification-Reference-Cited by-同舟云学术

Learning Invariance From Generated Variance for Unsupervised Person Re-Identification

Author:

Chen Hao¹^ORCID,Wang Yaohui¹,Lagadec Benoit²,Dantcheva Antitza¹^ORCID,Bremond Francois¹^ORCID

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

Reference77 articles.

1. Generative adversarial nets;goodfellow;Proc Int Conf Neural Inf Process,2014

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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