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Multidimensional attention and multiscale upsampling for semantic segmentation

LU Zhongda ZHANG Chunda WANG Lijing XU Fengxia

测试科学与仪器:英文版2022,Vol.13Issue(1):P.68-78,11.
测试科学与仪器:英文版2022,Vol.13Issue(1):P.68-78,11.DOI:10.3969/j.issn.1674-8042.2022.01.008

Multidimensional attention and multiscale upsampling for semantic segmentation

LU Zhongda 1ZHANG Chunda 1WANG Lijing 1XU Fengxia1

作者信息

  • 1. School of Mechanical and Electrical Engineering,Qiqihar University,Qiqihar 161000,China Heilongjiang Province Collaborative Innovation Center for Intelligent Manufacturing Equipment Industrialization,Qiqihar 161000,China
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摘要

关键词

semantic segmentation/attention mechanism/multiscale feature/convolutional neural network(CNN)/residual network(ResNet)

分类

信息技术与安全科学

引用本文复制引用

LU Zhongda,ZHANG Chunda,WANG Lijing,XU Fengxia..Multidimensional attention and multiscale upsampling for semantic segmentation[J].测试科学与仪器:英文版,2022,13(1):P.68-78,11.

基金项目

Fundamental Research Fund in Heilongjiang Provincial Universities(Nos.135409602,135409102)。 (Nos.135409602,135409102)

测试科学与仪器:英文版

OACSCD

1674-8042

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