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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 91–100 of 272 papers

Title	Date	Tasks	Status	Score
Oriented Point Sampling for Plane Detection in Unorganized Point Clouds	May 4, 2019	Point Cloud Segmentation	CodeCode Available	5
On the Over-Smoothing Problem of CNN Based Disparity Estimation	Oct 1, 2019	Disparity EstimationPoint Cloud Segmentation	CodeCode Available	5
On Universal Equivariant Set Networks	Oct 6, 2019	Point Cloud Segmentation	CodeCode Available	5
pCTFusion: Point Convolution-Transformer Fusion with Semantic Aware Loss for Outdoor LiDAR Point Cloud Segmentation	Jul 27, 2023	Point Cloud SegmentationSegmentation	CodeCode Available	5
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds	May 15, 2025	Point Cloud SegmentationScene Understanding	CodeCode Available	5
Fast 3D Line Segment Detection From Unorganized Point Cloud	Jan 8, 2019	Line DetectionLine Segment Detection	CodeCode Available	5
Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation	Dec 27, 2023	3D Semantic SegmentationPoint Cloud Segmentation	CodeCode Available	5
MmWave Radar Point Cloud Segmentation using GMM in Multimodal Traffic Monitoring	Nov 14, 2019	General ClassificationPoint Cloud Segmentation	CodeCode Available	5
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds	Jun 5, 2018	GPUPoint Cloud Segmentation	CodeCode Available	5
PFSD: A Multi-Modal Pedestrian-Focus Scene Dataset for Rich Tasks in Semi-Structured Environments	Feb 21, 2025	AttributeAutonomous Driving	CodeCode Available	5

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OcCo-PCN	mean Corruption Error (mCE)	1.17	—	Unverified
2	OcCo-PointNet	mean Corruption Error (mCE)	1.13	—	Unverified
3	PointNet++	mean Corruption Error (mCE)	1.11	—	Unverified
4	PointTransformers	mean Corruption Error (mCE)	1.05	—	Unverified
5	PointMLP	mean Corruption Error (mCE)	0.98	—	Unverified
6	PointMAE	mean Corruption Error (mCE)	0.93	—	Unverified
7	GDANet	mean Corruption Error (mCE)	0.92	—	Unverified
8	GDANet	mean Corruption Error (mCE)	0.89	—	Unverified