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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Bibliografiska uppgifter
Huvudupphovsmän: Luyao Liu, Enqing Chen, Yingqiang Ding
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2022-06-01
Serie:Machines
Ämnen:
point cloud
deep learning
classification
part segmentation
transformer
Länkar:https://www.mdpi.com/2075-1702/10/7/517

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

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