Interactive 3D Instance Segmentation Trained

Interactive 3D Instance Segmentation is a computer vision technique aimed at precisely segmenting each instance in a 3D scene through user interaction. The model is trained and evaluated on the Scannet40 dataset, effectively identifying and separating different object instances in complex environments, providing crucial support for applications such as indoor scene understanding, robot navigation, and virtual reality.