Applications of Graph Convolutional Networks and DeepGCNs in Point Cloud Part Segmentation and Upsampling

Applications of Graph Convolutional Networks and DeepGCNs in Point Cloud Part Segmentation and Upsampling

Graph convolutional networks (GCNs) showed promising results in learning from point cloud data. Applications of GCNs include point cloud classification, point cloud segmentation, point cloud upsampling, and more. Recently, the introduction of Deep Graph Convolutional Networks (DeepGCNs) allowed GCNs...

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Bibliographic Details
Main Author: Abualshour, Abdulellah
Other Authors: Ghanem, Bernard
Language:en
Published: 2020
Subjects:
Machine Learning
Computer Vision
Point Clouds
Graph Convolutional Networks
Point Cloud Part Segmentation
Point Cloud Upsampling
Online Access:Abualshour, A. (2020). Applications of Graph Convolutional Networks and DeepGNC's in Point Cloud Part Segmentation and Upsampling. KAUST Research Repository. https://doi.org/10.25781/KAUST-635B4
http://hdl.handle.net/10754/662567

Internet

Abualshour, A. (2020). Applications of Graph Convolutional Networks and DeepGNC's in Point Cloud Part Segmentation and Upsampling. KAUST Research Repository. https://doi.org/10.25781/KAUST-635B4
http://hdl.handle.net/10754/662567

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