Single-Sample Face Recognition Based on Shared Generative Adversarial Network

Single-sample face recognition is a very challenging problem, where each person has only one labeled training sample. It is difficult to describe unknown facial variations. In this paper, we propose a shared generative adversarial network (SharedGAN) to expand the gallery dataset. Benefiting from th...

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Hlavní autoři:	Yuhua Ding, Zhenmin Tang, Fei Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-02-01
Edice:	Mathematics
Témata:	single-sample face recognition shared generative adversarial network softmax classifier
On-line přístup:	https://www.mdpi.com/2227-7390/10/5/752
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