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Beijing Institute of Technology
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Current deepfake detectors fall flat when faced with forged listening reactions, but a new motion- and audio-aware network can spot the subtle tells.
By better aligning audio and visual features, MSCT significantly boosts deepfake detection, outperforming existing methods on the FakeAVCeleb dataset.
