Multimodal Forgery Detection

Multimodal Forgery Detection is a deepfake detection method that combines video and audio modalities for analysis, aiming to improve the accuracy of identifying forged content through the fusion of multimodal data. The goal of this task is to detect and locate forged parts in multimedia content, ensuring the authenticity and reliability of the information. Building on the foundation of computer vision, Multimodal Forgery Detection has significant application value and is widely used in scenarios such as cybersecurity, digital forensics, and content moderation.