Segmentation-Guided Spatial Indexing for Generalizable and Explainable Deepfake Detection 事件

Segmentation-Guided Spatial Indexing for Generalizable and Explainable Deepfake Detection arXiv:2606.00098v1 Announce Type: new Abstract: We introduce segmentation-guided spatial indexing for generalizable and explainable deepfake detection. The key idea reverses the standard design order: rather than pooling all facial tokens and classifying afterward, we first select semantically meaningful patch tokens, then pool only those. A frozen FaRL parser assigns each DINOv3 ViT-L/16 patch token a sem