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 …
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 …
[HTML][HTML] Face liveness detection using artificial intelligence techniques: A systematic literature review and future directions
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
face recognition is one of the most promising biometrics techniques, it is vulnerable to …
[HTML][HTML] Countering malicious deepfakes: Survey, battleground, and horizon
The creation or manipulation of facial appearance through deep generative approaches,
known as DeepFake, have achieved significant progress and promoted a wide range of …
known as DeepFake, have achieved significant progress and promoted a wide range of …
A crack detection algorithm for concrete pavement based on attention mechanism and multi-features fusion
Z Qu, W Chen, SY Wang, TM Yi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Crack detection for concrete pavement is an important and fundamental task to ensure road
safety. However, automatic crack detection is a challenging topic due to the complicated …
safety. However, automatic crack detection is a challenging topic due to the complicated …
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 …
Unsupervised adversarial domain adaptation for cross-domain face presentation attack detection
Face presentation attack detection (PAD) is essential for securing the widely used face
recognition systems. Most of the existing PAD methods do not generalize well to unseen …
recognition systems. Most of the existing PAD methods do not generalize well to unseen …
DRL-FAS: A novel framework based on deep reinforcement learning for face anti-spoofing
Inspired by the philosophy employed by human beings to determine whether a presented
face example is genuine or not, ie, to glance at the example globally first and then carefully …
face example is genuine or not, ie, to glance at the example globally first and then carefully …
Face spoofing detection based on local ternary label supervision in fully convolutional networks
Face verification systems are prone to spoofing attacks on photos, videos, and 3D masks.
Face spoofing detection, ie, face anti-spoofing, face liveness detection, or face presentation …
Face spoofing detection, ie, face anti-spoofing, face liveness detection, or face presentation …
Supervised contrastive learning for generalizable and explainable deepfakes detection
DeepFakes detection approaches have to be agnostic across generation type, quality, and
appearance to provide a generalizable DeepFakes detector. Limited generalizability will …
appearance to provide a generalizable DeepFakes detector. Limited generalizability will …