Yuyang Zhou

Even without retraining, a simple dual-system approach can significantly boost the performance of self-supervised talking head forgery detectors by refining the ordering of uncertain samples.

Existing synthetic image detectors fail to generalize because they're trained on biased data, but HiMix overcomes this with artifact-aware representations and mixup augmentation, achieving state-of-the-art generalization to unseen generators.