EdgeNet: deep metric learning for 3D shapes
type: Item
instance of: scholarly article
title: EdgeNet: deep metric learning for 3D shapes
zbMATH Open document ID: 1432.68406
author: Mingjia Chen
author: Qianfang Zou
author: Changbo Wang
author: Ligang Liu
published in: Computer Aided Geometric Design
publication date: 2019-11-27T00:00:00Z
Mathematics Subject Classification ID: 68T07
Mathematics Subject Classification ID: 68U05
zbMATH DE Number: 7137407
zbMATH Keywords: shape analysis
zbMATH Keywords: feature learning
zbMATH Keywords: metric learning
zbMATH Keywords: deep learning
describes a project that uses: t-SNE
describes a project that uses: SyncSpecCnn
describes a project that uses: SIFT
describes a project that uses: SCAPE
describes a project that uses: PointNet
describes a project that uses: 3DMatch
describes a project that uses: PointCNN
describes a project that uses: VoxNet
describes a project that uses: OctNet
MaRDI profile type: Publication
full work available at URL: j.cagd.2019.04.021
OpenAlex ID: W2944144063
cites work: Jointly learning shape descriptors and their correspondence via deep triplet CNNs
cites work: Diffusion maps
cites work: Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval
cites work: Discrete Geometry for Computer Imagery
cites work: Learning part-based templates from large collections of 3D shapes
cites work: Q3096207
cites work: Shape distributions
Wikidata QID: Q127926908
DOI: 10.1016/J.CAGD.2019.04.021
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description: scientific article; zbMATH DE number 7137407