HexMIL is a mask-free detector for AI-manipulated CT volumes trained with only binary volume-level labels. It decomposes each volume into a hierarchy of patches and slices, then combines independent Gated Attention modules into a full-resolution 3D attention volume. Because these weights directly participate in the forward classification computation, the method claims structurally faithful, ante-hoc localization rather than post-hoc explanations such as Grad-CAM. On M3DSynth and CT-GAN, cross-generator evaluation reportedly improves out-of-domain performance over all baselines by 9.1 AUC and 9.4 F1, while achieving the best average IoU and Pointing Game localization scores.
No heat snapshots are available in the last 24 hours.