Breaking Boundaries in 3D Instance Segmentation: An Open-World Approach with Improved Pseudo-Labeling and Realistic Scenarios

By providing object instance-level classification and semantic labeling, 3D semantic instance segmentation tries to identify items in a given 3D scene represented by a point cloud or mesh. Numerous vision applications, including robots, augmented reality, and autonomous driving, depend on the capacity to segment objects in the 3D space. Following advancements in the sensors used […]

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