The detection and localization of highly realistic deepfake audio-visual content are challenging even for the most advanced state-of-the-art methods. The comprehensive benchmark of the proposed dataset utilizing state-of-the-art deepfake detection and localization methods indicates a significant drop in performance compared to previous datasets.
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