MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation

12 Feb 2019Chen LiuYasutaka Furukawa

We propose a new approach for 3D instance segmentation based on sparse convolution and point affinity prediction, which indicates the likelihood of two points belonging to the same instance. The proposed network, built upon submanifold sparse convolution [3], processes a voxelized point cloud and predicts semantic scores for each occupied voxel as well as the affinity between neighboring voxels at different scales... (read more)

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