RETRACTED: Building recognition and classification using deep learning in civil engineering projects-Reference-Cited by-同舟云学术

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RETRACTED: Building recognition and classification using deep learning in civil engineering projects

Published:2024-04-26 Issue: Volume: Page:1-10
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Rong Guo¹,Xi Wang¹

Affiliation:

1. Guangdong Baiyun University, Faculty of Architectural Engineering, Guangzhou, Guangdong, China

Abstract

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.

Publisher

IOS Press

Reference24 articles.

1. SegNet: A deep convolutional encoder-decoder architecture for scene segmentation;Badrinarayanan;IEEE Transactions On Pattern Analysis and Machine Intelligence,2017

2. DeepLab: Semantic image segmentation with deep convolutional nets, Atrous convolution, and fully connected CRFs;Chen;IEEE Transactions on Pattern Analysis & Machine Intelligence,2018

3. Convolutional neuron network and open source data set method for building extraction in remote sensing image;Shunping;Journal of Surveying and Mapping,2019

4. Typical elements extraction method of remote sensing image based on Deeplabv3+ and CRF;Junqiang;Computer Engineering,2019

5. BRRNet: A fully convolutional neural network for automatic building extraction from high-resolution remote sensing images;Shao;Remote Sensing,2020

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