VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment 事件

VT-3DAD: Cross-Category 3D Anomaly Detection via Visual-Text Normal Space Alignment arXiv:2606.04369v1 Announce Type: new Abstract: Few-shot cross-category 3D anomaly detection aims to determine whether an unknown point cloud belongs to a target normal category using only a few normal references. Existing training-based methods usually require category-wise optimization, while recent training-free methods based on multi-view CLIP visual features mainly rely on visual similarity and may be confu