3D Anomaly Segmentation

3D Anomaly Segmentation is a technology focused on utilizing three-dimensional data for anomaly detection and segmentation. This task aims to accurately identify abnormal regions from multi-dimensional data such as 3D point clouds and voxel grids, enhancing detection accuracy through spatial structural information. Its application value is extensive, including but not limited to industrial quality inspection, medical image analysis, and autonomous driving environmental perception, significantly improving the robustness and reliability of systems.