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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 272 papers

TitleStatusHype
Generative Hard Example Augmentation for Semantic Point Cloud Segmentation—0
CamPoint: Boosting Point Cloud Segmentation with Virtual Camera—0
Impact of color and mixing proportion of synthetic point clouds on semantic segmentationCode0
The Bare Necessities: Designing Simple, Effective Open-Vocabulary Scene Graphs—0
Textured As-Is BIM via GIS-informed Point Cloud Segmentation—0
Towards Cross-device and Training-free Robotic Grasping in 3D Open World—0
BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation—0
Biomass phenotyping of oilseed rape through UAV multi-view oblique imaging with 3DGS and SAM model—0
Multiscale Graph Construction Using Non-local Cluster Features—0
Automated Image-Based Identification and Consistent Classification of Fire Patterns with Quantitative Shape Analysis and Spatial Location Identification—0
Multimodality Helps Few-Shot 3D Point Cloud Semantic SegmentationCode2
Exploring contextual modeling with linear complexity for point cloud segmentation—0
Generalizable Humanoid Manipulation with 3D Diffusion PoliciesCode4
Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy—0
Underground Mapping and Localization Based on Ground-Penetrating Radar—0
Lidar Panoptic Segmentation in an Open WorldCode1
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse LabelsCode0
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution AlignmentCode1
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Trainable Pointwise Decoder Module for Point Cloud Segmentation—0
Fine-grained Metrics for Point Cloud Semantic Segmentation—0
Scale Disparity of Instances in Interactive Point Cloud Segmentation—0
SegPoint: Segment Any Point Cloud via Large Language Model—0
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud SegmentationCode1
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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