mlsanityData to 7 Oct 2026

Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation

arXiv 1908.08854 ↗First posted 23 Aug 2019cs.CV cs.LG eess.IVcited by 29

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Abstract (arXiv)

3D Point Cloud Semantic Segmentation (PCSS) is attracting increasing interest, due to its applicability in remote sensing, computer vision and robotics, and due to the new possibilities offered by deep learning techniques. In order to provide a needed up-to-date review of recent developments in PCSS, this article summarizes existing studies on this topic. Firstly, we outline the acquisition and evolution of the 3D point cloud from the perspective of remote sensing and computer vision, as well as the published benchmarks for PCSS studies. Then, traditional and advanced techniques used for Point Cloud Segmentation (PCS) and PCSS are reviewed and compared. Finally, important issues and open questions in PCSS studies are discussed.

Key facts. Cited by 29 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Aug 2019.

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Citing papers per year: 2021: 11; 2022: 9; 2023: 9.

29 papers.

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  1. 20213D Semantic Scene Completion: a Surveycited by 74
  2. 2021Semantics for Robotic Mapping, Perception and Interaction: A Surveycited by 56
  3. 2022Contrastive Boundary Learning for Point Cloud Segmentationcited by 56
  4. 2022Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Surveycited by 54
  5. 2021DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weathercited by 26
  6. 2021Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapterscited by 21
  7. 20223D Vision with Transformers: A Surveycited by 21
  8. 2023All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentationcited by 13
  9. 2023Occluded Person Re-Identification with Deep Learning: A Survey and Perspectivescited by 13
  10. 2021Clustering performance analysis using a new correlation-based cluster validity indexcited by 9
  11. 2022Sequential Point Clouds: A Surveycited by 5
  12. 2022Geo-Information Harvesting from Social Media Datacited by 5
17 more
  1. 2023Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Surveycited by 5
  2. 2022Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Datacited by 4
  3. 2022SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Datacited by 3
  4. 2022BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statisticscited by 3
  5. 2021CLOI: An Automated Benchmark Framework For Generating Geometric Digital Twins Of Industrial Facilitiescited by 2
  6. 2021Towards Generalising Neural Implicit Representationscited by 2
  7. 2021Few-Shot Meta-Learning on Point Cloud for Semantic Segmentationcited by 2
  8. 2023Irregular Change Detection in Sparse Bi-Temporal Point Clouds using Learned Place Recognition Descriptors and Point-to-Voxel Comparisoncited by 2
  9. 2023A One Stop 3D Target Reconstruction and multilevel Segmentation Methodcited by 2
  10. 2023Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Datacited by 2
  11. 2021From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modellingcited by 1
  12. 2021Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semanticscited by 1
  13. 2022Automatic Segmentation of Aircraft Dents in Point Cloudscited by 1
  14. 2023From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentationcited by 1
  15. 2023Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?cited by 1
  16. 2023Empir3D : A Framework for Multi-Dimensional Point Cloud Assessmentcited by 1
  17. 2021An effective coaxiality measurement for twist drill based on line structured light sensorcited by 0