Rethinking vision transformer and masked autoencoder in multimodal face anti-spoofing

Z Yu, R Cai, Y Cui, X Liu, Y Hu, AC Kot - International Journal of Computer …, 2024 - Springer
Recently, vision transformer (ViT) based multimodal learning methods have been proposed
to improve the robustness of face anti-spoofing (FAS) systems. However, there are still no …

Consistency regularization for deep face anti-spoofing

Z Wang, Z Yu, X Wang, Y Qin, J Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Face anti-spoofing (FAS) plays a crucial role in securing face recognition systems.
Empirically, given an image, a model with more consistent output on different views (ie …

Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters

J Zhang, Y Zhang, F Shao, X Ma, S Feng, Y Wu… - Applied Soft …, 2024 - Elsevier
Although face recognition technology has been applied in many scenarios, it still suffers
from many types of presentation attacks, so face anti-spoofing (FAS) becomes a hot topic in …

Face Liveness Detection and Tracking in a Remote Exam Monitoring System

K Yao, T Kone, BG N'Guessan… - International Journal of …, 2023 - search.proquest.com
In the growing context of online exam surveillance to ensure academic integrity, biometric
authentication through facial recognition has become a common practice. However, the …

Exploring Hybrid Pooling of Pretrained Residual Network for Face Anti-spoofing

D Zhou, Y Zhang, J Zhang - … of the 15th International Conference on …, 2023 - dl.acm.org
Face anti-spoofing has become an important part of face recognition system, because it can
detect non-living faces in advance, thus the security of the subsequent identification process …