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Local region-learning modules for point cloud classification
At each level, the point cloud is sampled to extract representative points and these points are used to be centers of local regions.
Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods
We adapted six recent point-based deep learning architectures (PointNet, PointNet++, DGCNN, PointCNN, ShellNet, RIConv) for segmentation of structural parts of rosebush models.
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