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Table 3 Hyper-parameters used to train the networks

From: Segmentation of structural parts of rosebush plants with 3D point-based deep learning methods

  Learning rate Batch Decay step/rate Weight decay
PointNet 0.001 48 30000/0.8 0.005
PointNet++ 0.005 12 200000/0.7 None
DGCNN 0.005 12 200000/0.5 None
PointCNN 0.005 8 10000/0.8 1e-8
ShellNet 0.005 12 5000/0.8 1e-8
RIConv 0.005 12 10000/0.8 1e-6