Interactive 3D Instance Segmentation

Interactive 3D Instance Segmentation is an advanced technique in the field of computer vision aimed at accurately segmenting and identifying each instance in a 3D scene through user interaction. This technology combines deep learning and geometric processing methods to achieve a detailed understanding of complex environments. Its core objective is to enhance segmentation accuracy and efficiency while reducing the cost of manual annotation. In applications such as autonomous driving, robot navigation, virtual reality, and augmented reality, Interactive 3D Instance Segmentation can provide crucial environmental perception and object recognition capabilities, thereby improving the intelligence level of systems and user experience.