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 171–180 of 272 papers

Title	Date	Tasks	Status	Hype
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds	Jul 8, 2021	Point Cloud SegmentationPseudo Label	—Unverified	0
VIN: Voxel-based Implicit Network for Joint 3D Object Detection and Segmentation for Lidars	Jul 7, 2021	3D Object DetectionObject	—Unverified	0
HIDA: Towards Holistic Indoor Understanding for the Visually Impaired via Semantic Instance Segmentation with a Wearable Solid-State LiDAR Sensor	Jul 7, 2021	3D Instance SegmentationInstance Segmentation	—Unverified	0
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning	Jul 5, 2021	Contrastive LearningPoint Cloud Segmentation	—Unverified	0
Scalable Certified Segmentation via Randomized Smoothing	Jul 1, 2021	Point Cloud SegmentationSegmentation	CodeCode Available	0
Language-Level Semantics Conditioned 3D Point Cloud Segmentation	Jul 1, 2021	Point Cloud SegmentationSegmentation	—Unverified	0
SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation	Jun 19, 2021	3D Semantic SegmentationDecoder	CodeCode Available	1
Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models	Jun 19, 2021	DecoderPoint Cloud Segmentation	—Unverified	0
Semantically Adversarial Scenario Generation with Explicit Knowledge Guidance	Jun 8, 2021	Autonomous DrivingAutonomous Vehicles	—Unverified	0
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds	Jun 1, 2021	3D Semantic SegmentationDecoder	CodeCode Available	1

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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