AFFD-NET: ATTENTION-BASED MULTI-STREAM FEATURE FUSION NETWORK TO ROBUST CROSS-DATASET OVERVIEW OF DEEPFAKE DETECTION

Abstract Detection of deepfakes has become a more difficult task due to the Escalating Sophistication of Reproductive Reproductions, particularly D-F architectures, such as the existing methods, which have problems with cross-dataset generalization because they rely on single-stream deep features and naive concatenation approaches. In this Paper, we present AFFD-Net (Attention-Guided Feature Fusion Detection Network), a new lightweight multi-stream model to achieve powerful deepfake detection. A