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

Published: 01 Jan 2025, Last Modified: 13 Nov 2024Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Gaussian mixture-based generative classifiers improve point cloud segmentation.•Minimizing distribution similarity can improve the performance of GMM classifiers.•The sampling bias issue under 3D semi-supervised settings can be alleviated through GMM.•Combining Generative and contrastive methods fosters semi-supervised 3D segmentation.
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