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OULU-NPU dataset
The OULU-NPU dataset is a high resolution antispoofing dataset. It has over 5900 videos of 55 subjects. The dataset has both print and replay attacks with two printers and two... -
Replay-Mobile dataset
The Replay-Mobile dataset consists of 1190 video clips of 40 subjects. It contains paper and replay presentation attacks under five different lighting conditions. -
Shuffled Patch-Wise Supervision for Presentation Attack Detection
Face anti-spoofing is essential to prevent false facial verification by using a photo, video, mask, or a different substitute for an authorized person’s face. Most of the... -
Idiap Replay-Attack
Idiap Replay-Attack is a benchmark dataset for face anti-spoofing. -
Generative Domain Adaptation for Face Anti-Spoofing
Face anti-spoofing (FAS) approaches based on unsupervised domain adaptation (UDA) have drawn growing attention due to promising performances for target scenarios. -
CASIA-MFSD
Face presentation attack detection using video-based methods that analyze facial motion in successive video frames. -
Replay-Attack
Face presentation attack detection using video-based methods that analyze facial motion in successive video frames. -
CASIA-WebFace
Face recognition dataset used for evaluating the efficiency of the proposed Translation Variant Convolution (TVConv) operator.