Rgb D Instance Segmentation

RGB-D Instance Segmentation is an advanced task in the field of computer vision that aims to accurately segment each instance in a scene by combining color images (RGB) and depth information (D). This technology not only identifies different object categories but also distinguishes multiple instances within the same category, providing pixel-level localization and boundaries. RGB-D Instance Segmentation holds significant value in applications such as augmented reality, robot navigation, intelligent surveillance, and autonomous driving, significantly enhancing the perception capabilities and interaction accuracy of systems.