Combining dynamic image and prediction ensemble for cross-domain face anti-spoofing
L Lv, Y Xiang, X Li, H Huang, R Ruan… - ICASSP 2021-2021 …, 2021 - ieeexplore.ieee.org
Most of the face anti-spoofing methods improve the generalization capability by adversarial
domain adaptation via training the source and target domain data jointly. However …
domain adaptation via training the source and target domain data jointly. However …
Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing
Due to the environmental differences, many face anti-spoofing methods fail to generalize to
unseen scenarios. In light of this, we propose a unified unsupervised and semi-supervised …
unseen scenarios. In light of this, we propose a unified unsupervised and semi-supervised …
Dual Teacher Knowledge Distillation with Domain Alignment for Face Anti-spoofing
Face recognition systems have raised concerns due to their vulnerability to different
presentation attacks, and system security has become an increasingly critical concern …
presentation attacks, and system security has become an increasingly critical concern …
Domain generalization for face anti-spoofing via negative data augmentation
W Wang, P Liu, H Zheng, R Ying… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In practical applications, the generalization capability of face anti-spoofing (FAS) models on
unseen domains is of paramount importance to adapt to diverse camera sensors, device …
unseen domains is of paramount importance to adapt to diverse camera sensors, device …
Selective domain-invariant feature alignment network for face anti-spoofing
One primary challenge in face anti-spoofing refers to suffering a sharp performance drop in
cross-domain scenes, where training and testing images are collected from different …
cross-domain scenes, where training and testing images are collected from different …
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 …
Adversarial learning and decomposition-based domain generalization for face anti-spoofing
M Liu, J Mu, Z Yu, K Ruan, B Shu, J Yang - Pattern Recognition Letters, 2022 - Elsevier
Face anti-spoofing (FAS) plays a critical role in the face recognition community for securing
the face presentation attacks. Many works have been proposed to regard FAS as a domain …
the face presentation attacks. Many works have been proposed to regard FAS as a domain …
Single-side domain generalization for face anti-spoofing
Existing domain generalization methods for face anti-spoofing endeavor to extract common
differentiation features to improve the generalization. However, due to large distribution …
differentiation features to improve the generalization. However, due to large distribution …
Dynamic attention based domain generalization for face anti-spoofing
S Zhang, Z Gao, Y Lin, Y Lu… - 2022 26th International …, 2022 - ieeexplore.ieee.org
Most existing face anti-spoofing methods get excellent results in the intra-dataset
experiments. However, in the cross-dataset experiments, the performance may decline …
experiments. However, in the cross-dataset experiments, the performance may decline …
Domain adaptation based person-specific face anti-spoofing using color texture features
Face anti-spoofing technology is indispensable for the face recognition system, which is
vulnerable to malicious spoofing attacks such as printed attacks and replayed video attacks …
vulnerable to malicious spoofing attacks such as printed attacks and replayed video attacks …