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Rongzhen Li

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Preprint Aug 2026

MS-MFAD : Multimodal large language models for Face Anti-spoofing Detection

A few-shot, high-quality semantic annotation paradigm is effective for building trustworthy, explainable, and cost-efficient UFAD systems, and validating the robustness of semantic anchoring compared to models trained on massive short-text data.

Xiao-Yong Yu, Rong-Zhen Li, Shu-Ming Shi et al. · 0 citations

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