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Found 3 papers, 1 papers with code
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
We test our framework in the context of semantic segmentation of text, dimension and, contour components in engineering drawings.
MuGNet: Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
We present MuGNet, a memory-efficient, end-to-end graph neural network framework to perform semantic segmentation on large-scale pointclouds.
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Semantic Segmentation
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Multi-Resolution Graph Neural Network for Large-Scale Pointcloud Segmentation
We present MuGNet, a memory-efficient, end-to-end graph neural network framework to perform semantic segmentation on large-scale pointclouds.
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