A multi-modal model with LMM semantic, ST visual, and PS audio branches enables simultaneous detection and fine-grained temporal localization of partial AI video forgeries, outperforming prior methods.
wav2vec 2.0: A framework for self-supervised learning of speech representations
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Towards multi-modal forgery representation learning for AI-generated video detection and localization
A multi-modal model with LMM semantic, ST visual, and PS audio branches enables simultaneous detection and fine-grained temporal localization of partial AI video forgeries, outperforming prior methods.