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Facial Video Forgery Detection
Bita-Net: Bi-temporal Attention Network for Facial Video Forgery Detection
Deep forgery detection on video data has attracted remarkable research attention in recent years due to its potential in defending forgery attacks. However, existing methods either only focus on the visual evidence within individual images, or are …
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