Face Presentation Attack Detection
2개 벤치마크 · 논문 80편 · 이 태스크의 논문 보기 →
Benchmarks
WMCA
ROSE-YOUTU
Most implemented
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks
FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data
Papers
Tomatoes, Potatoes, and Onions: Questioning the Need for Faces in Face Presentation Attack Detection
Face presentation attack detection (PAD) is traditionally formulated as a face-specific problem, although many of the visual artifacts introduced by print, replay, and recapture processes are not inherently tied to facia…
Face Presentation Attack DetectionLoRA-based Adaptation Alone Is Not Enough: Understanding the Limits of Foundation Models for Face Presentation Attack Detection
Face presentation attack detection (PAD) aims to reliably detect a wide range of presentation attacks. While PAD methods achieve strong performance within individual datasets, their performance degrades under cross-datas…
Face Presentation Attack DetectionFoundation Models for Face Presentation Attack Detection: A Unified Linear-Probing Benchmark
Face presentation attack detection (PAD) remains challenging under cross-dataset evaluation, where domain shift degrades models trained on a single dataset. The scarcity of large-scale labeled data motivates adapting pre…
Face Presentation Attack DetectionArchitectural Bias in Face Presentation Attack Detection: A Comparative Study of Vision Transformers and Convolutional Neural Networks
Face Presentation Attack Detection (PAD) systems constitute a critical security layer in biometric authentication; however, existing approaches exhibit systematic performance disparities across demographic groups, dispro…
Face Presentation Attack DetectionFace Anti-SpoofingFlow Augmentation and Knowledge Distillation for Lightweight Face Presentation Attack Detection
Face presentation attack detection (FacePAD) remains challenging under diverse spoofing representation, including 2D print and replay, 3D mask-based spoofing, makeup-induced appearance manipulation, and physical occlusio…
Face Presentation Attack DetectionOptical Flow EstimationKnowledge DistillationFace Presentation Attack Detection via Content-Adaptive Spatial Operators
Face presentation attack detection (FacePAD) is critical for securing facial authentication against print, replay, and mask-based spoofing. This paper proposes CASO-PAD, an RGB-only, single-frame model that enhances Mobi…
Face Presentation Attack Detection