Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images 事件

Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images arXiv:2606.00872v1 Announce Type: new Abstract: AI-generated image detection is a moving-target problem: detectors trained on one generator often fail when a new generator appears, and only a few labeled examples are available. We study a simple image-to-table formulation for this regime, where each image is encoded by a frozen DINOv3 backbone, its CLS feature is reduced to a 500-dimensional structur