Morphing attack detection based on adaptive incremental learning

Face morphing images pose a significant threat to the security of face recognition systems. Most existing morphing attack detection （MAD） methods rely on large amounts of training data. However， due to the insufficient diversity of training data， the detection accuracy of these models often degrades...

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Bibliografiske detaljer

Principais autores:	HE Zu-Yuan, ZHAO Pei-Yi, DENG Zong-Yong, ZHOU Si-Rui, ZHAO Qi-Jun
Format:	Artigo
Sprog:	Inglês
Udgivet:	Editorial Department of Journal of Sichuan University (Natural Science Edition) 2025-09-01
Serier:	四川大学学报. 自然科学版
Fag:	Face morphing attack detection Incremental learning Contrastive learning Prototype learning
Online adgang:	http://science.scu.edu.cn/thesisDetails#10.19907/j.0490-6756.250031
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