Deep Learning for Face Anti-Spoofing
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in securing face recognition systems from presentation attacks (PAs). […]
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 […]
Adversarial learning and decomposition-based domain generalization for face anti-spoofing
Face anti-spoofing (FAS) plays a critical role in the face recognition community for securing the face presentation attacks. Many works have been […]
Meta-Teacher For Face Anti-Spoofing
Face anti-spoofing (FAS) secures face recognition from presentation attacks (PAs). Existing FAS methods usually supervise PA detectors with handcrafted binary or pixel-wise […]
Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems from the presentation attacks (PAs). As more and more realistic […]
Face Anti-Spoofing with Human Material Perception
Face anti-spoofing (FAS) plays a vital role in securing the face recognition systems from presentation attacks. Most existing FAS methods capture various […]
NAS-FAS
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Existing methods heavily rely on the expert-designed networks, which may […]
Auto-Fas
With the development of mobile devices, it is hopeful and pressing to deploy face recognition and face anti-spoofing (FAS) model on cell […]