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3D Semantic Segmentation

10-shot image generation › Semantic Segmentation › 3D Semantic Segmentation 190 평가 기록 24 datasets

3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.

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