Learning Meta Face Recognition in Unseen Domains

Face recognition systems are usually faced with unseen domains in real-world applications and show unsatisfactory performance due to their poor generalization. For example, a well-trained model on webface data cannot deal with the ID vs. Spot task in surveillance scenario. In this paper, we aim to l...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 6162 - 6171
Main Authors:	Guo, Jianzhu, Zhu, Xiangyu, Zhao, Chenxu, Cao, Dong, Lei, Zhen, Li, Stan Z.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2020
Subjects:	Benchmark testing Face Face recognition Optimization Probes Task analysis Training
ISSN:	1063-6919
Online Access:	Get full text
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