VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection
VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection explores VIGIL is a part-centric deepfake detection framework that generates reliable textual explanations by separating evidence generation from manipulation localization, outperforming existing methods on a challenging new benchmark.. Commercial viability score: 7/10 in Deepfake Detection.
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