Implementation of "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision" in PyTorch.
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Updated
Mar 4, 2020 - Python
Implementation of "Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision" in PyTorch.
This is improving face recognition anti proofing with RetenaFace Detector
ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019
Face Anti-spoofing Attack Detection Challenge@CVPR2020
the implement of 3D Mask Face Anti-spoofing with Remote Photoplethysmography
Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
A face anti-spoofing system to judge whether a face is real or fake using Tensorflow Keras and OpenCV
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
The tensorflow code for our "Learning Generalizable and Identity-Discriminative Representations forFace Anti-Spoofing" (GFA-CNN)
Inanimate face liveness is a function to classify human face images are inanimate or animate face
Code for 2nd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019
🔥🔥High-Performance Face Recognition Library on PyTorch🔥🔥
[IJCV 2024] Towards Unified Defense for Face Forgery and Spoofing Attacks via Dual Space Reconstruction Learning
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