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Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights,
  Design, and Metrics

Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics

18 June 2024
Hyojin Kim
Jiyoon Lee
Yonghyun Jeong
Haneol Jang
YoungJoon Yoo
ArXivPDFHTML

Papers citing "Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics"

4 / 4 papers shown
Title
Rethinking Domain Generalization for Face Anti-spoofing: Separability
  and Alignment
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
Yiyou Sun
Yaojie Liu
Xiaoming Liu
Yixuan Li
Wen-Sheng Chu
OOD
CVBM
41
56
0
23 Mar 2023
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich
  Annotations
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
Yuanhan Zhang
Zhen-fei Yin
Yidong Li
Guojun Yin
Junjie Yan
Jing Shao
Ziwei Liu
CVBM
42
158
0
24 Jul 2020
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
201
14,190
0
07 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1