3D Open-Vocabulary Instance Segmentation

12 benchmarks14 papers

Open-vocabulary 3D instance segmentation is a computer vision task that involves identifying and delineating individual objects or instances within a three-dimensional (3D) scene without prior knowledge of a fixed set of object classes or categories. In other words, it extends traditional instance segmentation to a scenario where the number and types of objects present in the 3D environment are not predefined or limited to a specific vocabulary.

Benchmarks

3D Open-Vocabulary Instance Segmentation on Replica

3D Open-Vocabulary Instance Segmentation on ScanNet200

3D Open-Vocabulary Instance Segmentation on STPLS3D