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

9 Apr 2021 Zekun Sun Yujie Han Zeyu Hua Na Ruan Weijia Jia

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 in high model complexity and sensitiveness to noise... (read more)

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LRNet
Image Model Blocks