LitMAS is a single 6M-parameter model using a concentration loss and modality-specific projection experts, achieving a 4.86% average EER across seven anti-spoofing datasets.
Phygitalnet: Unified face presentation attack detection via one-class isolation learning,
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LitMAS: A Lightweight and Generalized Multi-Modal Anti-Spoofing Framework for Biometric Security
LitMAS is a single 6M-parameter model using a concentration loss and modality-specific projection experts, achieving a 4.86% average EER across seven anti-spoofing datasets.