Learn-Convolutional-Neural-Network-for-Face-Anti-Spoofing_pytorch
Implementation of "Learn Convolutional Neural Network for Face Anti-Spoofing" paper
基于Yasar Abbas Ur Rehamn, Lai Man Po and Mengyang Liu发表的《Deep Learning for Face Anti-Spoofing: An End-to-End Approach》。请检查。 转载自https://github.com/houliang428/CNN-for-face-anti-spoofing, 国内github有些慢
Main codes of CVPR2020 paper "Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing" 使用teneorflow实现的
Recognizing Multi-Modal Face Spoofing with Face Recognition Networks 论文的代码实现 该论文是一篇多模态的网络结构
FaceBagNet: Bag-Of-Local-Features Model for Multi-Modal Face Anti-Spoofing 使用小片的图像,多模态的进行FAS(重要参考方式之一)
A PyTorch implementation of Exploiting temporal and depth information for multi-frame face anti-spoofing. It is only the single frame part. 该篇论文主要是使用时序信号进行多帧的FAS方法