Face anti‐spoofing with refined triplet loss and multi‐level attention constraint network

Abstract One critical issue for existing face recognition (FR) systems is to ensure its accuracy and robustness, which calls for the development of face anti‐spoofing (FAS) algorithms to work against presentation attacks (PA). This letter proposes a novel Multi‐level Attention Constraint Network wit...

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Autores principales: Xingzhong Nong, Ying Zeng, Haifeng Hu
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/44b610422661466cac4a3d7878820c2b
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