A deepfake detector that learns to reweight five handcrafted features reports higher cross-dataset AUC than prior baselines, but the mechanism and experiments are not specified enough to verify.
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SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks
A deepfake detector that learns to reweight five handcrafted features reports higher cross-dataset AUC than prior baselines, but the mechanism and experiments are not specified enough to verify.