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We Present Audiovisual Feature Fusion Avff, A Twostage Crossmodal Learning Method That Explicitly Captures The Correspondence Between The Audio And Visual Modalities For Improved Deepfake Detection.
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We Show The The Source Dataset For The Whole Future Directions.
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Thorough Experimental Validations On Audiovisual Deepfake Datasets, Namely Fakeavceleb, Avdeepfake1m, Tvil, And Lavdf Datasets, Demonstrate The Efficacy Of Our Approach.
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