3D Open Vocabulary Instance Segmentation

3D Open-Vocabulary Instance Segmentation is a task in the field of computer vision that aims to identify and segment individual object instances in 3D scenes without prior knowledge of fixed object categories. This task extends traditional instance segmentation methods to adapt to an unknown number and types of targets, thereby achieving more flexible and accurate object detection and recognition in complex and varied environments, which holds significant application value.