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Domain generalization via shuffled style assembly for face anti-spoofing
With diverse presentation attacks emerging continually, generalizable face anti-spoofing
(FAS) has drawn growing attention. Most existing methods implement domain generalization …
(FAS) has drawn growing attention. Most existing methods implement domain generalization …
Cfpl-fas: Class free prompt learning for generalizable face anti-spoofing
Abstract Domain generalization (DG) based Face Anti-Spoofing (FAS) aims to improve the
model's performance on unseen domains. Existing methods either rely on domain labels to …
model's performance on unseen domains. Existing methods either rely on domain labels to …
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 …
Deep learning for face anti-spoofing: A survey
Face anti-spoofing (FAS) has lately attracted increasing attention due to its vital role in
securing face recognition systems from presentation attacks (PAs). As more and more …
securing face recognition systems from presentation attacks (PAs). As more and more …
Fm-vit: Flexible modal vision transformers for face anti-spoofing
The availability of handy multi-modal (ie, RGB-D) sensors has brought about a surge of face
anti-spoofing research. However, the current multi-modal face presentation attack detection …
anti-spoofing research. However, the current multi-modal face presentation attack detection …
Suppress and rebalance: Towards generalized multi-modal face anti-spoofing
Abstract Face Anti-Spoofing (FAS) is crucial for securing face recognition systems against
presentation attacks. With advancements in sensor manufacture and multi-modal learning …
presentation attacks. With advancements in sensor manufacture and multi-modal learning …
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 …
Learning multi-granularity temporal characteristics for face anti-spoofing
Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the
decent performance, few existing works fully leverage temporal information. This would …
decent performance, few existing works fully leverage temporal information. This would …
Surveillance face anti-spoofing
Face Anti-spoofing (FAS) is essential to secure face recognition systems from various
physical attacks. However, recent research generally focuses on short-distance applications …
physical attacks. However, recent research generally focuses on short-distance applications …
Face anti-spoofing using transformers with relation-aware mechanism
Face anti-spoofing (FAS) is important to secure face recognition systems. Deep learning has
obtained great success in this area, however, most existing approaches fail to consider …
obtained great success in this area, however, most existing approaches fail to consider …