AI RESEARCH
Enhancing Self-Supervised Talking Head Forgery Detection via a Training-Free Dual-System Framework
arXiv CS.CV
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ArXi:2605.03390v1 Announce Type: new Supervised talking head forgery detection faces severe generalization challenges due to the continuous evolution of generators. By reducing reliance on generator-specific forgery patterns, self-supervised detectors offer stronger cross-generator robustness. However, existing research has mainly focused on building stronger detectors, while the discriminative capacity of trained detectors remains insufficiently exploited.