3D Anomaly Detection And Segmentation

3D Anomaly Detection and Segmentation is a technology specifically designed for anomaly detection and segmentation in three-dimensional data. This task aims to identify abnormal regions within 3D point clouds, meshes, or other 3D representations and segment them accurately. Its goal is to enhance the perception of complex structures and environments, ensuring the integrity and accuracy of the data. This technology has significant application value in industrial inspection, medical image analysis, autonomous driving, and other fields, effectively improving the robustness and reliability of systems.