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Masked Relation Learning for DeepFake Detection

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2 Published in 2023 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2023.3249566

Abstract: DeepFake detection aims to differentiate falsified faces from real ones. Most approaches formulate it as a binary classification problem by solely mining the local artifacts and inconsistencies of face forgery, which neglect the relation across… read more here.

Keywords: masked relation; relation learning; learning deepfake; deepfake detection ... See more keywords