Few-Shot Training Gan for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach

Yih–Kai Lin

doi:10.2139/ssrn.4090387

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Few-Shot Training Gan for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach

Yih–Kai Lin

Year: 2022 Journal: SSRN Electronic Journal Publisher: RELX Group (Netherlands)

DOI: 10.2139/ssrn.4090387

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Keywords:

Shot (pellet) Segmentation Training (meteorology) Face (sociological concept) Artificial intelligence Computer science Pattern recognition (psychology) Computer vision Training set One shot Materials science Geography Engineering Sociology

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Digital Media Forensic Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Law in Society and Culture

Social Sciences → Social Sciences → Law

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Few-Shot Training Gan for Face Forgery Classification and Segmentation Based on the Fine-Tune Approach

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