mlsanityData to 14 Oct 2026

GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling

arXiv 2207.06766 ↗First posted 14 Jul 2022cs.CV cs.GRcited by 8

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Abstract (arXiv)

Semantic segmentation of point clouds, aiming to assign each point a semantic category, is critical to 3D scene understanding.Despite of significant advances in recent years, most of existing methods still suffer from either the object-level misclassification or the boundary-level ambiguity. In this paper, we present a robust semantic segmentation network by deeply exploring the geometry of point clouds, dubbed GeoSegNet. Our GeoSegNet consists of a multi-geometry based encoder and a boundary-guided decoder. In the encoder, we develop a new residual geometry module from multi-geometry perspectives to extract object-level features. In the decoder, we introduce a contrastive boundary learning module to enhance the geometric representation of boundary points. Benefiting from the geometric encoder-decoder modeling, our GeoSegNet can infer the segmentation of objects effectively while making the intersections (boundaries) of two or more objects clear. Experiments show obvious improvements of our method over its competitors in terms of the overall segmentation accuracy and object boundary clearness. Code is available at https://github.com/Chen-yuiyui/GeoSegNet.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 32 of its 43 references that are in the map. First posted on arXiv 14 Jul 2022.

Builds on

32 of 43 references.

References · 32

  1. 2016PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationcited by 5,248
  2. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  3. 2018Dynamic Graph CNN for Learning on Point Cloudscited by 2,223
  4. 2020Point Transformercited by 1,470
  5. 2019KPConv: Flexible and Deformable Convolution for Point Cloudscited by 1,205
  6. 2018PointCNN: Convolution On X-Transformed Pointscited by 764
  7. 20173D Semantic Segmentation with Submanifold Sparse Convolutional Networkscited by 748
  8. 2020PCT: Point cloud transformercited by 732
  9. 2018PointConv: Deep Convolutional Networks on 3D Point Cloudscited by 657
  10. 2019RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Cloudscited by 585
  11. 2019Deep Learning for 3D Point Clouds: A Surveycited by 558
  12. 2017Large-scale Point Cloud Semantic Segmentation with Superpoint Graphscited by 385
20 more
  1. 2022Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Frameworkcited by 379
  2. 2016OctNet: Learning Deep 3D Representations at High Resolutionscited by 342
  3. 2020PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Samplingcited by 239
  4. 2017SEGCloud: Semantic Segmentation of 3D Point Cloudscited by 179
  5. 2021Deep Parametric Continuous Convolutional Neural Networkscited by 161
  6. 2020A Closer Look at Local Aggregation Operators in Point Cloud Analysiscited by 87
  7. 2021SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentationcited by 87
  8. 2022Surface Representation for Point Cloudscited by 84
  9. 2017Deep Projective 3D Semantic Segmentationcited by 81
  10. 2019Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentationcited by 68
  11. 2019ConvPoint: Continuous Convolutions for Point Cloud Processingcited by 62
  12. 2020JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Cloudscited by 62
  13. 2018PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentationcited by 58
  14. 2022Contrastive Boundary Learning for Point Cloud Segmentationcited by 56
  15. 2019Geometry Sharing Network for 3D Point Cloud Classification and Segmentationcited by 33
  16. 2020DenserNet: Weakly Supervised Visual Localization Using Multi-scale Feature Aggregationcited by 33
  17. 2019Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modelingcited by 25
  18. 2021Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Cloudscited by 23
  19. 2022GL-RG: Global-Local Representation Granularity for Video Captioningcited by 16
  20. 2021Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloudcited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 3; 2026: 2.

8 papers.

  1. 2024An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Cloudscited by 1
  2. 2023Filling the Holes on 3D Heritage Object Surface based on Automatic Segmentation Algorithmcited by 0
  3. 2024Towards Localizing Structural Elements: Merging Geometrical Detection with Semantic Verification in RGB-D Datacited by 0
  4. 2025Rethinking Convergence in Deep Learning: The Predictive-Corrective Paradigm for Anatomy-Informed Brain MRI Segmentationcited by 0
  5. 2025Taming the Light: Illumination-Invariant Semantic 3DGS-SLAMcited by 0
  6. 2025Robust 3DGS-based SLAM via Adaptive Kernel Smoothingcited by 0
  7. 2026MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglementcited by 0
  8. 2026An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Point Cloud Classificationcited by 0