Matches in SemOpenAlex for { <https://semopenalex.org/work/W2890848214> ?p ?o ?g. }
Showing items 1 to 68 of
68
with 100 items per page.
- W2890848214 abstract "Graph convolutional neural networks (Graph-CNNs) extend traditional CNNs to handle data that is supported on a graph. Major challenges when working with data on graphs are that the support set (the vertices of the graph) do not typically have a natural ordering, and in general, the topology of the graph is not regular (i.e., vertices do not all have the same number of neighbors). Thus, Graph-CNNs have huge potential to deal with 3D point cloud data which has been obtained from sampling a manifold. In this paper we develop a Graph-CNN for classifying 3D point cloud data, called PointGCN <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>1</sup> . The architecture combines localized graph convolutions with two types of graph downsampling operations (also known as pooling). By the effective exploration of the point cloud local structure using the Graph-CNN, the proposed architecture achieves competitive performance on the 3D object classification benchmark ModelNet, and our architecture is more stable than competing schemes." @default.
- W2890848214 created "2018-09-27" @default.
- W2890848214 creator A5074277827 @default.
- W2890848214 creator A5089819604 @default.
- W2890848214 date "2018-04-01" @default.
- W2890848214 modified "2023-10-14" @default.
- W2890848214 title "A Graph-CNN for 3D Point Cloud Classification" @default.
- W2890848214 cites W1990488619 @default.
- W2890848214 cites W2101491865 @default.
- W2890848214 cites W2158787690 @default.
- W2890848214 cites W2227290239 @default.
- W2890848214 cites W3100220783 @default.
- W2890848214 doi "https://doi.org/10.1109/icassp.2018.8462291" @default.
- W2890848214 hasPublicationYear "2018" @default.
- W2890848214 type Work @default.
- W2890848214 sameAs 2890848214 @default.
- W2890848214 citedByCount "114" @default.
- W2890848214 countsByYear W28908482142019 @default.
- W2890848214 countsByYear W28908482142020 @default.
- W2890848214 countsByYear W28908482142021 @default.
- W2890848214 countsByYear W28908482142022 @default.
- W2890848214 countsByYear W28908482142023 @default.
- W2890848214 crossrefType "proceedings-article" @default.
- W2890848214 hasAuthorship W2890848214A5074277827 @default.
- W2890848214 hasAuthorship W2890848214A5089819604 @default.
- W2890848214 hasBestOaLocation W28908482142 @default.
- W2890848214 hasConcept C110384440 @default.
- W2890848214 hasConcept C115961682 @default.
- W2890848214 hasConcept C131979681 @default.
- W2890848214 hasConcept C132525143 @default.
- W2890848214 hasConcept C154945302 @default.
- W2890848214 hasConcept C157406716 @default.
- W2890848214 hasConcept C203776342 @default.
- W2890848214 hasConcept C22149727 @default.
- W2890848214 hasConcept C41008148 @default.
- W2890848214 hasConcept C70437156 @default.
- W2890848214 hasConcept C80444323 @default.
- W2890848214 hasConcept C81363708 @default.
- W2890848214 hasConceptScore W2890848214C110384440 @default.
- W2890848214 hasConceptScore W2890848214C115961682 @default.
- W2890848214 hasConceptScore W2890848214C131979681 @default.
- W2890848214 hasConceptScore W2890848214C132525143 @default.
- W2890848214 hasConceptScore W2890848214C154945302 @default.
- W2890848214 hasConceptScore W2890848214C157406716 @default.
- W2890848214 hasConceptScore W2890848214C203776342 @default.
- W2890848214 hasConceptScore W2890848214C22149727 @default.
- W2890848214 hasConceptScore W2890848214C41008148 @default.
- W2890848214 hasConceptScore W2890848214C70437156 @default.
- W2890848214 hasConceptScore W2890848214C80444323 @default.
- W2890848214 hasConceptScore W2890848214C81363708 @default.
- W2890848214 hasLocation W28908482141 @default.
- W2890848214 hasLocation W28908482142 @default.
- W2890848214 hasOpenAccess W2890848214 @default.
- W2890848214 hasPrimaryLocation W28908482141 @default.
- W2890848214 hasRelatedWork W2559156603 @default.
- W2890848214 hasRelatedWork W2949066288 @default.
- W2890848214 hasRelatedWork W2967990525 @default.
- W2890848214 hasRelatedWork W2987852271 @default.
- W2890848214 hasRelatedWork W3119356360 @default.
- W2890848214 hasRelatedWork W3176213335 @default.
- W2890848214 hasRelatedWork W3202075396 @default.
- W2890848214 hasRelatedWork W4214604401 @default.
- W2890848214 hasRelatedWork W4287394948 @default.
- W2890848214 hasRelatedWork W4300832495 @default.
- W2890848214 isParatext "false" @default.
- W2890848214 isRetracted "false" @default.
- W2890848214 magId "2890848214" @default.
- W2890848214 workType "article" @default.