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.