Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models-Reference-Cited by-同舟云学术

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Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

Published:2021-11 Issue: Volume:91 Page:102038
ISSN:0167-8396
Container-title:Computer Aided Geometric Design
language:en
Short-container-title:Computer Aided Geometric Design

Author:

Ghadai Sambit,Lee Xian Yeow^ORCID,Balu Aditya,Sarkar Soumik,Krishnamurthy Adarsh^ORCID

Funder

Nvidia

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Aerospace Engineering,Automotive Engineering,Modelling and Simulation

Reference64 articles.

1. Spatial Data Modelling for 3D GIS;Abdul-Rahman,2007

2. Automatic differentiation in machine learning: a survey;Baydin;J. Mach. Learn. Res.,2018

3. Scans as primitive parallel operations;Blelloch;IEEE Trans. Comput.,1989

4. Learning shape correspondence with anisotropic convolutional neural networks;Boscaini,2016

5. Geometric deep learning: going beyond Euclidean data;Bronstein;IEEE Signal Process. Mag.,2017

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