Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from several drawbacks: 1) a limited number of mask identities, types of sensors, and a total number of videos; 2) low-fidelity quality of facial masks. Basic …