AI RESEARCH
CAM-VFD: Cross-Attention Multimodal Video Forgery Detection
arXiv CS.CV
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ArXi:2605.17133v1 Announce Type: new The rapid advancement of Deepfake technologies and video manipulation tools poses a critical challenge to multimedia forensics, judicial evidence integrity, and information authenticity. Current detectors rely on single-modality signals, treating appearance, geometry, and motion independently. However, advanced generators maintain within-modality consistency while producing cross-modal contradictions, which are forensically discriminative but invisible to any single-modal detector.