Awesome
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
This is the source code for CVPR 2023 paper Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment by Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li and Wen-Sheng Chu.
Preliminaries
It is tested under Ubuntu Linux 20.04 and Python 3.8 environment, and requries some packages to be installed:
Usage
1. Dataset Preparation
Download the OULU-NPU, CASIA-FASD, Idiap Replay-Attack, and MSU-MFSD datasets. Put datasets into the directory of datasets/FAS
.
2. Prepocessing
Run ./preposess.py
.
3. Demo
Run ./train.py --protocol [O_C_I_to_M/O_M_I_to_C/O_C_M_to_I/I_C_M_to_O]
.
Citation
If you use our codebase, please cite our work:
@article{sun2023safas,
title={Rethinking Domain Generalization for Face Anti-spoofing:
Separability and Alignment},
author={Sun, Yiyou and Liu, Yaojie and Liu, Xiaoming and Li, Yixuan and Chu Wen-Sheng},
journal={CVPR},
year={2023}
}