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

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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Bibliographic Details
Main Authors: Xingzhong Nong, Ying Zeng, Haifeng Hu
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Electronics Letters
Subjects:
Image recognition
Computer vision and image processing techniques
Data security
Neural nets
Online Access:https://doi.org/10.1049/ell2.12305

Internet

https://doi.org/10.1049/ell2.12305

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