Unleashing Vision-Language Semantics for Deepfake Video Detection
Unleashing Vision-Language Semantics for Deepfake Video Detection explores A novel deepfake video detection framework that leverages rich vision-language semantics and identity-aware prompting to significantly outperform state-of-the-art methods.. Commercial viability score: 7/10 in Deepfake Video Detection.
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