SemiGMMPoint: Semi-supervised point cloud segmentation based on Gaussian mixture models

• Published in: Pattern recognition Vol. 158; p. 111045
• Main Authors: Zhuang, Xianwei, Wang, Hualiang, He, Xiaoxuan, Fu, Siming, Hu, Haoji
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.02.2025
• Subjects: 3D point cloud segmentation; Contrastive learning; Distribution similarity minimization; Gaussian mixture models; Generative classifier; Semi-supervised learning; Gaussian mixture models; 3D point cloud segmentation; Generative classifier; Semi-supervised learning; Distribution similarity minimization; Contrastive learning

Existing semi-supervised point cloud segmentation methods emphasize on discriminative learning, which overlooks the underlying class-conditional distributions and distribution similarities. In this paper, we propose SemiGMMPoint, the first generative framework for semi-supervised 3D point cloud segm...