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An Overview of Face Manipulation Detection
2020
Journal of Cyber Security
Due to the power of editing tools, new types of fake faces are being created and synthesized, which has attracted great attention on social media. It is reasonable to acknowledge that one human cannot distinguish whether the face is manipulated from the real faces. Therefore, the detection of face manipulation becomes a critical issue in digital media forensics. This paper provides an overview of recent deep learning detection models for face manipulation. Some public dataset used for face
doi:10.32604/jcs.2020.014310
fatcat:fcu67ro5pvcg7eputna6dlf5eu