AVPF generates self-created audio-visual pseudo-fakes from real samples to train deepfake detectors that generalize better, with reported average gains up to 7.4%.
Beyond the prior forgery knowl- edge: Mining critical clues for general face forgery detec- tion.IEEE Transactions on Information Forensics and Secu- rity
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Generalizing Video DeepFake Detection by Self-generated Audio-Visual Pseudo-Fakes
AVPF generates self-created audio-visual pseudo-fakes from real samples to train deepfake detectors that generalize better, with reported average gains up to 7.4%.