Efficient face anti-spoofing via head-aware transformer based knowledge distillation with 5 MB model parameters
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 …
from many types of presentation attacks, so face anti-spoofing (FAS) becomes a hot topic in …
Confidence Aware Learning for Reliable Face Anti-spoofing
Current Face Anti-spoofing (FAS) models tend to make overly confident predictions even
when encountering unfamiliar scenarios or unknown presentation attacks, which leads to …
when encountering unfamiliar scenarios or unknown presentation attacks, which leads to …
Face Forgery Detection with Elaborate Backbone
Face Forgery Detection (FFD), or Deepfake detection, aims to determine whether a digital
face is real or fake. Due to different face synthesis algorithms with diverse forgery patterns …
face is real or fake. Due to different face synthesis algorithms with diverse forgery patterns …
Weighted Joint Distribution Optimal Transport Based Domain Adaptation for Cross-Scenario Face Anti-Spoofing
S Mao, R Chen, H Li - International Journal of Computer Vision, 2024 - Springer
Unsupervised domain adaptation-based face anti-spoofing methods have attracted more
and more attention due to their promising generalization abilities. To mitigate domain bias …
and more attention due to their promising generalization abilities. To mitigate domain bias …