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.
Audio-Visual Tem- poral Forgery Detection Using Embedding-Level Fusion and Multi-Dimensional Contrastive Loss.IEEE Trans- actions on Circuits and Systems for Video Technology, 2024
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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.