MMDA, a CLIP-based multimodal face anti-spoofing framework with differential attention denoising and soft text alignment, reports state-of-the-art cross-domain generalization, but the evaluation is compromised by test-set model selection.
Learning meta pattern for face anti-spoofing
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Purify then Guide: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing
MMDA, a CLIP-based multimodal face anti-spoofing framework with differential attention denoising and soft text alignment, reports state-of-the-art cross-domain generalization, but the evaluation is compromised by test-set model selection.