September 10, 2025TechnologiesOpen Access

Advancements in Semantic Segmentation of 3D Point Clouds for Scene Understanding Using Deep Learning

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Deep learning significantly enhances semantic segmentation of 3D point clouds for various applications.
The survey categorizes methods into supervised and unsupervised approaches, detailing the strengths of each.
Comparative performance analysis on benchmark datasets reveals key challenges in generalization and efficiency.
Future research directions aim to address limitations in current datasets and improve model transferability.

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This survey categorizes deep learning methods for semantic segmentation of 3D point clouds, highlighting supervised and unsupervised approaches.

Benallal et al. (2025) studied this question.

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This survey categorizes deep learning methods for semantic segmentation of 3D point clouds, highlighting supervised and unsupervised approaches.