The authors release UniAttackData+, a unified face attack detection dataset with 54 attack types and 697,347 videos, and propose HiPTune, a hierarchical prompt tuning model that outperforms baselines on multiple UAD benchmarks.
Mixture-of-attack-experts with class regularization for unified physical-digital face attack detection,
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Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
The authors release UniAttackData+, a unified face attack detection dataset with 54 attack types and 697,347 videos, and propose HiPTune, a hierarchical prompt tuning model that outperforms baselines on multiple UAD benchmarks.