TR-Net: A Transformer-Based Neural Network for Point Cloud Processing

TR-Net: A Transformer-Based Neural Network for Point Cloud Processing

Point cloud is a versatile geometric representation that could be applied in computer vision tasks. On account of the disorder of point cloud, it is challenging to design a deep neural network used in point cloud analysis. Furthermore, most existing frameworks for point cloud processing either hardl...

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מידע ביבליוגרפי
Main Authors: Luyao Liu, Enqing Chen, Yingqiang Ding
פורמט: Article
שפה:English
יצא לאור: MDPI AG 2022-06-01
סדרה:Machines
נושאים:
point cloud
deep learning
classification
part segmentation
transformer
גישה מקוונת:https://www.mdpi.com/2075-1702/10/7/517

אינטרנט

https://www.mdpi.com/2075-1702/10/7/517

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