Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation

CVPR 2020 Lingjing Wang Xiang Li Yi Fang

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 generalization abilities on test data... (read more)

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