3D Segmentation Learning From Sparse Annotations and Hierarchical Descriptors
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DOI: 10.1109/lra.2021.3088796
Abstract: One of the main obstacles to 3D semantic segmentation is the significant amount of endeavor required to generate expensive point-wise annotations for fully supervised training. To alleviate manual efforts, we propose GIDSeg, a novel approach… read more here.
Keywords: sparse annotations; annotations hierarchical; learning sparse; segmentation ... See more keywords