SOTAVerified

Point Cloud Segmentation

3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data. This problem has many applications in robotics such as intelligent vehicles, autonomous mapping and navigation.

Source: 3D point cloud segmentation: A survey

Papers

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Showing 51–100 of 272 papers

TitleStatusHype
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic SegmentationCode1
LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud SegmentationCode1
PointCT: Point Central Transformer Network for Weakly-supervised Point Cloud Semantic SegmentationCode1
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
Deep Learning for 3D Point Clouds: A SurveyCode1
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic SegmentationCode1
ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point CloudsCode1
Dense-Resolution Network for Point Cloud Classification and SegmentationCode1
Learning with Noisy Labels for Robust Point Cloud SegmentationCode1
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR SegmentationCode1
COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud SegmentationCode1
Differentiable Graph Module (DGM) for Graph Convolutional NetworksCode1
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud SegmentationCode1
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud SegmentationCode1
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point CloudsCode1
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided EnhancementCode1
BPNet: Bézier Primitive Segmentation on 3D Point CloudsCode1
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud SegmentationCode1
KPRNet: Improving projection-based LiDAR semantic segmentationCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud SegmentationCode1
ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic SegmentationCode1
Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?Code1
Lidar Panoptic Segmentation in an Open WorldCode1
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point CloudsCode1
PointHR: Exploring High-Resolution Architectures for 3D Point Cloud SegmentationCode1
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution AlignmentCode1
OpenMaskDINO3D : Reasoning 3D Segmentation via Large Language ModelCode1
Depth-Aware Range Image-Based Model for Point Cloud Segmentation—0
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model—0
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation—0
Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation—0
Deep Unsupervised Segmentation of Log Point Clouds—0
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation—0
Deep Parametric Continuous Convolutional Neural Networks—0
Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid—0
Addressing Data Misalignment in Image-LiDAR Fusion on Point Cloud Segmentation—0
3D point cloud segmentation using GIS—0
Deep-learning-based classification and retrieval of components of a process plant from segmented point clouds—0
Deep Learning Based 3D Segmentation: A Survey—0
3D photogrammetry point cloud segmentation using a model ensembling framework—0
Deep FusionNet for Point Cloud Semantic Segmentation—0
Automated Image-Based Identification and Consistent Classification of Fire Patterns with Quantitative Shape Analysis and Spatial Location Identification—0
Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation—0
Generating synthetic photogrammetric data for training deep learning based 3D point cloud segmentation models—0
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation—0
2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision—0
Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OcCo-PCNmean Corruption Error (mCE)1.17—Unverified
2OcCo-PointNetmean Corruption Error (mCE)1.13—Unverified
3PointNet++mean Corruption Error (mCE)1.11—Unverified
4PointTransformersmean Corruption Error (mCE)1.05—Unverified
5PointMLPmean Corruption Error (mCE)0.98—Unverified
6PointMAEmean Corruption Error (mCE)0.93—Unverified
7GDANetmean Corruption Error (mCE)0.92—Unverified
8GDANetmean Corruption Error (mCE)0.89—Unverified