DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

DLA-Net: Learning dual local attention features for semantic segmentation of large-scale building facade point clouds

Published:2022-03 Issue: Volume:123 Page:108372
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Su Yanfei,Liu Weiquan,Yuan Zhimin,Cheng Ming,Zhang Zhihong,Shen Xuelun,Wang Cheng

Funder

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. Layered analysis of irregular facades via symmetry maximization;Zhang;ACM Trans. Graph.,2013

2. Perception-based shape retrieval for 3D building models;Zhang;ISPRS J. Photogramm. Remote Sens.,2013

3. Robust procedural model fitting with a new geometric similarity estimator;Zhang;Pattern Recognit.,2019

4. Building outline extraction from ALS point clouds using medial axis transform descriptors;Widyaningrum;Pattern Recognit.,2020

5. Building damage assessment using deep learning and ground-level image data;Nia,2017

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic segmentation for large-scale point clouds based on hybrid attention and dynamic fusion;Pattern Recognition;2024-12

2. Composite convolution: A flexible operator for deep learning on 3D point clouds;Pattern Recognition;2024-09

3. LESA-Net: Semantic segmentation of multi-type road point clouds in complex agroforestry environment;Heliyon;2024-09

4. SGSLNet: Stratified Contextual Graph Pooling for Point Cloud Segmentation with Graph Structural Learning;2024-08-23

5. Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet);Automation in Construction;2024-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3