# AV-FABLE

Manipulations in long videos often touch only a few seconds, while existing audio-visual deepfake benchmarks mostly use short talking-head clips and long-form forensics has been largely visual. AV-FABLE pairs 16,650 pristine–manipulated twins (998 hours, 27 editing configurations) with separate audio and visual timelines, so localization must report both the time boundaries and the affected modality. Reading frozen Qwen3-Omni perception features through separate audio and visual temporal decoders, NFSR reaches 91.30 in-domain AV-mAP against 84.76 for UMMAFormer on the same features, and the highest AV-mAP in all three out-of-distribution settings.

Manipulations in long videos often touch only a few seconds, while existing audio-visual deepfake benchmarks mostly use short talking-head clips and long-form forensics has been largely visual. AV-FABLE pairs 16,650 pristine–manipulated twins (998 hours, 27 editing configurations) with separate audio and visual timelines, so localization must report both the time boundaries and the affected modality. Reading frozen Qwen3-Omni perception features through separate audio and visual temporal decoders, NFSR reaches 91.30 in-domain AV-mAP against 84.76 for UMMAFormer on the same features, and the highest AV-mAP in all three out-of-distribution settings.