Associatively Segmenting Instances and Semantics in Point Clouds

CVPR 2019 Xinlong WangShu LiuXiaoyong ShenChunhua ShenJiaya Jia

A 3D point cloud describes the real scene precisely and intuitively.To date how to segment diversified elements in such an informative 3D scene is rarely discussed. In this paper, we first introduce a simple and flexible framework to segment instances and semantics in point clouds simultaneously... (read more)

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