A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection

Few-shot point cloud 3D object detection (FS3D) aims to identify and locate objects of novel classes within point clouds using knowledge acquired from annotated base classes and a minimal number of samples from the novel clas... | Find, read and cite all the research you need on Tech Science Press

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Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2025-01-01
DOI
https://doi.org/10.32604/cmc.2025.062161
Primary Topic
Optical Systems and Laser Technology
Type
article
Field-Weighted Citation Impact
0.00

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article

A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection

Xuejing Li
Computers, materials & continua/Computers, materials & continua (Print)
Optical Systems and Laser Technology
article

A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection

Xuejing Li
article en

Abstract

Few-shot point cloud 3D object detection (FS3D) aims to identify and locate objects of novel classes within point clouds using knowledge acquired from annotated base classes and a minimal number of samples from the novel clas... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 83(2)
Shanghai Jiao Tong University (CN)
Ministry of Education, India
Reduced inequalities
Openalex Percentile: Top 96%
Optical Systems and Laser Technology
DOIOpen Access PDFOpenAlex
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A Category-Agnostic Hybrid Contrastive Learning Method for Few-Shot Point Cloud Object Detection — Xuejing Li · Computers, materials & continua/Computers, materials & continua (Print) (2025) | TGRS Research Map | TGRS