Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds

Research article (ISPRS Journal of Photogrammetry and Remote Sensing, 2021) · cited 24× · AI/ML
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Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds

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Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/densely-connected-graph-convolutional-network-for-joint-semantic-and-instance-segmentation-of-indoor-point-clouds
MLA “Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/densely-connected-graph-convolutional-network-for-joint-semantic-and-instance-segmentation-of-indoor-point-clouds.
BibTeX @misc{4ortxyz_densely-connected-graph-convolutional-network-for-joint-semantic-and-instance-segmentation-of-indoor-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Densely connected graph convolutional network for joint semantic and instance segmentation of indoor point clouds}}, year = {2026}, url = {https://4ort.xyz/entity/densely-connected-graph-convolutional-network-for-joint-semantic-and-instance-segmentation-of-indoor-point-clouds}, note = {Accessed: 2026-05-24}}
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