Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution
Abstract The lack of fine-grained 3D shape segmentation data is the main obstacle to developing learning-based 3D segmentation techniques. We propose an effective semi-supervised method for learning 3D segmentations from a few labeled 3D shapes and a large amount of unlabeled 3D data. For the unlabeled data, we present a …