RT-DeepLoc localizes temporal deepfakes via reconstruction errors from an MAE trained solely on authentic data plus an asymmetric intra-video contrastive loss, reporting SOTA results on LAV-DF under video-level supervision.
Do You Re- ally Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
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Mining Forgery Traces from Reconstruction Error: A Weakly Supervised Framework for Multimodal Deepfake Temporal Localization
RT-DeepLoc localizes temporal deepfakes via reconstruction errors from an MAE trained solely on authentic data plus an asymmetric intra-video contrastive loss, reporting SOTA results on LAV-DF under video-level supervision.