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MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection
Moreover, MoE-FFD leverages the expressivity of transformers and local priors of CNNs to simultaneously extract global and local forgery clues.
Pixel-Inconsistency Modeling for Image Manipulation Localization
Digital image forensics plays a crucial role in image authentication and manipulation localization.
Forgery-aware Adaptive Vision Transformer for Face Forgery Detection
To circumvent these issues, we propose a novel Forgery-aware Adaptive Vision Transformer (FA-ViT).
Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection
Face forgery detection is essential in combating malicious digital face attacks.
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