Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
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Abstract (arXiv)
In this article we describe a new convolutional neural network (CNN) to classify 3D point clouds of urban or indoor scenes. Solutions are given to the problems encountered working on scene point clouds, and a network is described that allows for point classification using only the position of points in a multi-scale neighborhood. On the reduced-8 Semantic3D benchmark [Hackel et al., 2017], this network, ranked second, beats the state of the art of point classification methods (those not using a regularization step).
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Apr 2018.
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Citing papers per year: 2021: 7; 2022: 0; 2023: 4.
11 papers.
- 2021Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Cloudscited by 55
- 2021Learning Semantic Segmentation of Large-Scale Point Clouds with Random Samplingcited by 51
- 20213D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learningcited by 11
- 2023GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attributecited by 9
- 2023Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentationcited by 5
- 2021VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentationcited by 2
- 2021Potential Convolution: Embedding Point Clouds into Potential Fieldscited by 0
- 2021MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representationcited by 0
- 2021An Evaluation of RGB and LiDAR Fusion for Semantic Segmentationcited by 0
- 2023VTPNet for 3D deep learning on point cloudcited by 0
- 2023PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applicationscited by 0
- 2023PWR-Align: Leveraging Part-Whole Relationships for Part-wise Rigid Point Cloud Registration in Mixed Reality Applications11 Jun 2023
- 2023VTPNet for 3D deep learning on point cloud10 May 2023
- 2023GQE-Net: A Graph-based Quality Enhancement Network for Point Cloud Color Attribute24 Mar 2023
- 2023Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation26 Jan 2023
- 2021An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation17 Aug 2021
- 2021Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds13 Aug 2021
- 2021VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation29 Jul 2021
- 2021Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling6 Jul 2021
- 2021MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation27 May 2021
- 2021Potential Convolution: Embedding Point Clouds into Potential Fields5 Apr 2021
- 20213D Point Cloud Registration with Multi-Scale Architecture and Unsupervised Transfer Learning26 Mar 2021