CDCN
Main code of CVPR2020 paper "Searching Central Difference Convolutional Networks for Face Anti-Spoofing"
Based on the Central Difference Convolution (CDC) and Contrastive Depth Loss (CDL), we achieved
1st Place in ChaLearn Multi-Modal Face Anti-spoofing Attack Detection Challenge @CVPR2020
2nd Place in ChaLearn Single-Modal(RGB) Face Anti-spoofing Attack Detection Challenge @CVPR2020
It is just for research purpose, and commercial use is not allowed.
Citation
If you use the CDCN or CDL, please cite these three papers:
@inproceedings{yu2020searching,
title={Searching Central Difference Convolutional Networks for Face Anti-Spoofing},
author={Yu, Zitong and Zhao, Chenxu and Wang, Zezheng and Qin, Yunxiao and Su, Zhuo and Li, Xiaobai and Zhou, Feng and Zhao, Guoying},
booktitle= {CVPR},
year = {2020}
}
@inproceedings{wang2020deep,
title={Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing},
author={Wang, Zezheng and Yu, Zitong and Zhao, Chenxu and Zhu, Xiangyu and Qin, Yunxiao and Zhou, Qiusheng and Zhou, Feng and Lei, Zhen},
booktitle= {CVPR (Oral)},
year = {2020}
}
@inproceedings{qin2019learning,
title={Learning Meta Model for Zero-and Few-shot Face Anti-spoofing},
author={Qin, Yunxiao and Zhao, Chenxu and Zhu, Xiangyu and Wang, Zezheng and Yu, Zitong and Fu, Tianyu and Zhou, Feng and Shi, Jingping and Lei, Zhen},
booktitle= {AAAI},
year = {2020}
}