Omni-Fake delivers a unified multimodal deepfake benchmark dataset and RL-driven detector that reports gains in accuracy, cross-modal generalization, and explainability over prior baselines.
Can spatiotemporal 3d cnns retrace the history of 2d cnns and imagenet? InProceedings of the IEEE conference on Com- puter Vision and Pattern Recognition, pages 6546–6555,
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Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
Omni-Fake delivers a unified multimodal deepfake benchmark dataset and RL-driven detector that reports gains in accuracy, cross-modal generalization, and explainability over prior baselines.