Abstract: Highlights•A three-part network for semantic segmentation of unorganized point clouds is presented.•The kNN algorithm is utilized to extract local features from the point features.•The point, local, and global features are concatenated for semantic segmentation.•The similarity loss and segmentation loss are integrated in the segmentation network.•Experiments on indoor and outdoor datasets show the promotion in segmentation accuracy.
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