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Instance-aware domain generalization for face anti-spoofing
Face anti-spoofing (FAS) based on domain generalization (DG) has been recently studied to
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
improve the generalization on unseen scenarios. Previous methods typically rely on domain …
Test-time domain generalization for face anti-spoofing
Abstract Face Anti-Spoofing (FAS) is pivotal in safeguarding facial recognition systems
against presentation attacks. While domain generalization (DG) methods have been …
against presentation attacks. While domain generalization (DG) methods have been …
Gradient alignment for cross-domain face anti-spoofing
Recent advancements in domain generalization (DG) for face anti-spoofing (FAS) have
garnered considerable attention. Traditional methods have focused on designing learning …
garnered considerable attention. Traditional methods have focused on designing learning …
Generative domain adaptation for face anti-spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaption (UDA) have
drawn growing attention due to promising performances for target scenarios. Most existing …
drawn growing attention due to promising performances for target scenarios. Most existing …
Transrppg: Remote photoplethysmography transformer for 3d mask face presentation attack detection
3D mask face presentation attack detection (PAD) plays a vital role in securing face
recognition systems from emergent 3D mask attacks. Recently, remote …
recognition systems from emergent 3D mask attacks. Recently, remote …
Adaptive normalized representation learning for generalizable face anti-spoofing
With various face presentation attacks arising under unseen scenarios, face anti-spoofing
(FAS) based on domain generalization (DG) has drawn growing attention due to its …
(FAS) based on domain generalization (DG) has drawn growing attention due to its …
Dual-cross central difference network for face anti-spoofing
Face anti-spoofing (FAS) plays a vital role in securing face recognition systems. Recently,
central difference convolution (CDC) has shown its excellent representation capacity for the …
central difference convolution (CDC) has shown its excellent representation capacity for the …
Multi-domain incremental learning for face presentation attack detection
Previous face Presentation Attack Detection (PAD) methods aim to improve the effectiveness
of cross-domain tasks. However, in real-world scenarios, the original training data of the pre …
of cross-domain tasks. However, in real-world scenarios, the original training data of the pre …
Source-free domain adaptation with contrastive domain alignment and self-supervised exploration for face anti-spoofing
Despite promising success in intra-dataset tests, existing face anti-spoofing (FAS) methods
suffer from poor generalization ability under domain shift. This problem can be solved by …
suffer from poor generalization ability under domain shift. This problem can be solved by …
Learning meta pattern for face anti-spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems and has been
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …
extensively studied in recent years. Although deep neural networks (DNNs) for the FAS task …