Explainability-guided local–global fusion for video deepfake detection
Qualitative analyses show that Grad-CAM captures localized manipulation artifacts, whereas Attention Rollout models broader contextual relationships, highlighting the complementary strengths of the proposed explainability-guided local–global inference framework for trustworthy deepfake detection.