Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Home
Learning External Point-set Context For Point Cloud Segmentation.

Home
Learning External Point-set Context For Point Cloud Segmentation.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Elucidating the metabolic dynamics and aroma formation mechanisms of sun-exposed versus rain-soaked fresh tea leaves during Wuyi rock tea processing via GC-MS and LC-MS-based untargeted metabolomics.

Food chemistry·2026

Same author

Global prevalence of pan-vascular diseases: A trend and health inequality analyses.

Cardiovascular research·2026

Same author

DDARes-U<sup>2</sup>Net: a dual-decoder adversarial residual U<sup>2</sup>Net algorithm for segmentation of COVID-19 pneumonia lesions.

Journal of medical imaging (Bellingham, Wash.)·2026

Same author

Bypassing Schottky constraints via defect-mediated hydrogen transfer in hydrodechlorination.

Nature communications·2026

Same author

Goatpox virus Hrf-063 interacts with host eIF4A1 and is associated with altered expression of antiviral signaling-related factors.

Frontiers in cellular and infection microbiology·2026

Same author

Multiplexed digital colloid-enhanced Raman spectroscopy for metabolite detection <i>via</i> selective molecular affinity.

Chemical communications (Cambridge, England)·2026

Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026

Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026

Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026

Same journal

Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

IEEE transactions on neural networks and learning systems·2026

Same journal

Stability of Time-Varying Impulsive Systems With State-Dependent Delay and Its Application in Complex Networks.

IEEE transactions on neural networks and learning systems·2026

Same journal

Adaptive Learning Control of Uncertain Systems via Weight and Intrinsic Plasticity-Based Neural Networks.

IEEE transactions on neural networks and learning systems·2026

See all related articles

Related Experiment Video

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Learning External Point-Set Context for Point Cloud Segmentation.

Jibin Peng, Haotian Dong, Xin Wang

IEEE Transactions on Neural Networks and Learning Systems

|June 5, 2026

View abstract on PubMed

Summary

This summary is machine-generated.

This study introduces external point-set context (EPSC) for 3D point cloud semantic segmentation. EPSC leverages external memory to enhance context, significantly improving segmentation accuracy across multiple datasets.

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Related Experiment Videos

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Area of Science:

Computer Vision
Machine Learning
3D Data Analysis

Background:

Point cloud semantic segmentation relies heavily on visual context to understand 3D point relationships.
Current methods primarily use internal context from within the same object or scene.
A need exists for richer contextual information to improve segmentation performance.

Purpose of the Study:

To introduce and evaluate a novel approach using external point-set context (EPSC) for 3D point cloud semantic segmentation.
To enhance the understanding of semantic relationships between 3D points by incorporating information from diverse objects and scenes.
To improve the accuracy and robustness of point cloud segmentation.

Main Methods:

Proposed External Point-Set Context (EPSC) method utilizing an external memory system.
External memory stores cluster features representing relationships between adjacent 3D points.
EPSC representations are learned during training and released during inference to provide contextual cues.

Main Results:

Demonstrated effective improvement in point cloud semantic segmentation.
Achieved significant performance gains on benchmark datasets: Stanford Large-Scale 3-D Indoor Spaces (S3DIS), ScanNetv2, and ShapeNetPart.
The proposed EPSC method provides rich and relevant context for accurate segmentation.

Conclusions:

External point-set context (EPSC) is a valuable addition to 3D point cloud semantic segmentation.
The external memory approach effectively captures and utilizes cross-object/scene contextual information.
The method shows strong potential for advancing the field of 3D semantic understanding.