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Found 2 papers, 1 papers with code
A boundary-aware point clustering approach in Euclidean and embedding spaces for roof plane segmentation
We design a three-branch network to predict semantic labels, point offsets and extract deep embedding features.
Reinventing 2D Convolutions for 3D Images
Theoretically, ANY 2D CNN (ResNet, DenseNet, or DeepLab) is able to be converted into a 3D ACS CNN, with pretrained weight of a same parameter size.
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