3D Semantic Instance Segmentation

3D Semantic Instance Segmentation is a crucial task in the field of computer vision, aiming to annotate each pixel in a 3D scene with both semantic and instance-level labels. This task not only identifies object categories but also distinguishes different instances within the same category, thereby providing a more refined understanding of the scene. Its application value in areas such as autonomous driving, robot navigation, and virtual reality is significant, as it can enhance the system's environmental perception and decision-making accuracy.