Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing

@article{Wang2020DeepSG,
  title={Deep Spatial Gradient and Temporal Depth Learning for Face Anti-Spoofing},
  author={Zezheng Wang and Zitong Yu and Chenxu Zhao and Xiangyu Zhu and Yunxiao Qin and Qiusheng Zhou and Feng Zhou and Zhen Lei},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020},
  pages={5041-5050}
}
  • Zezheng Wang, Zitong Yu, Zhen Lei
  • Published 18 March 2020
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Face anti-spoofing is critical to the security of face recognition systems. Depth supervised learning has been proven as one of the most effective methods for face anti-spoofing. Despite the great success, most previous works still formulate the problem as a single-frame multi-task one by simply augmenting the loss with depth, while neglecting the detailed fine-grained information and the interplay between facial depths and moving patterns. In contrast, we design a new approach to detect… 
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  • Computer Science
    2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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