Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features

@article{Sun2021ImprovingTE,
  title={Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features},
  author={Zekun Sun and Yujie Han and Zeyu Hua and Na Ruan and Weijia Jia},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={3608-3617}
}
  • Zekun Sun, Yujie Han, +2 authors Weijia Jia
  • Published 9 April 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Deepfakes is a branch of malicious techniques that transplant a target face to the original one in videos, resulting in serious problems such as infringement of copyright, confusion of information, or even public panic. Previous efforts for Deepfakes videos detection mainly focused on appearance features, which have a risk of being bypassed by sophisticated manipulation, also resulting high model complexity and sensitiveness to noise. Besides, how to mine the temporal features of manipulated… Expand

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