2020
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
CVPR 2020poster
Recently, deep neural networks are introduced as supervised discriminative models for the learning of 3D point cloud segmentation. Most previous supervised methods require a large number of training data with human annotation part labels to guide the training process to ensure the model's generaliza…