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 PAs with novel types spring up, it is …
presentation attacks (PAs). As more and more realistic PAs with novel types spring up, it is …
Pixel difference networks for efficient edge detection
Abstract Recently, deep Convolutional Neural Networks (CNNs) can achieve human-level
performance in edge detection with the rich and abstract edge representation capacities …
performance in edge detection with the rich and abstract edge representation capacities …
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 …
A review of state-of-the-art in Face Presentation Attack Detection: From early development to advanced deep learning and multi-modal fusion methods
Face Recognition is considered one of the most common biometric solutions these days and
is widely used across a range of devices for various security purposes. The performance of …
is widely used across a range of devices for various security purposes. The performance of …
Rethinking domain generalization for face anti-spoofing: Separability and alignment
This work studies the generalization issue of face anti-spoofing (FAS) models on domain
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
gaps, such as image resolution, blurriness and sensor variations. Most prior works regard …
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 …
Patchnet: A simple face anti-spoofing framework via fine-grained patch recognition
Face anti-spoofing (FAS) plays a critical role in securing face recognition systems from
different presentation attacks. Previous works leverage auxiliary pixel-level supervision and …
different presentation attacks. Previous works leverage auxiliary pixel-level supervision and …
Detecting and grounding multi-modal media manipulation
Misinformation has become a pressing issue. Fake media, in both visual and textual forms,
is widespread on the web. While various deepfake detection and text fake news detection …
is widespread on the web. While various deepfake detection and text fake news detection …
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 …
Flip: Cross-domain face anti-spoofing with language guidance
Face anti-spoofing (FAS) or presentation attack detection is an essential component of face
recognition systems deployed in security-critical applications. Existing FAS methods have …
recognition systems deployed in security-critical applications. Existing FAS methods have …