Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities

Published in European Conference on Computer Vision (ECCV), 2024

This paper presents a novel approach to deepfake detection using contrastive learning and global-local similarities. The method leverages the power of contrastive learning to better distinguish between real and fake images by analyzing both global and local features.