Depth Anomaly Detection And Segmentation

Depth Anomaly Detection and Segmentation is a specialized technique for detecting and segmenting anomalies in depth images. This task aims to identify abnormal regions in a scene by analyzing depth data and accurately segment them. Compared to traditional methods, depth images provide rich three-dimensional information, which helps to improve detection accuracy and robustness. This technology has significant application value in intelligent surveillance, autonomous driving, robot navigation, and other fields, effectively enhancing the environmental perception capabilities and safety of systems.