Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds

Aiming to automatically segment multi-class objects on the tunnel point cloud, a deep learning network named dual attention-based point cloud network (DAPCNet) is developed in this paper to act on point clouds for segmentation. In the developed model, data normalization and feature aggregation are f...

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Vydané v:	Automation in construction Ročník 156; s. 105131
Hlavní autori:	Ji, Ankang, Zhang, Limao, Fan, Hongqin, Xue, Xiaolong, Dou, Yudan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.12.2023
Predmet:	3D dual attention module Deep learning Encoder-decoder Semantic segmentation Tunnel point cloud Deep learning Tunnel point cloud 3D dual attention module Semantic segmentation Encoder-decoder
ISSN:	0926-5805, 1872-7891
On-line prístup:	Získať plný text
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