MsanlfNet: Semantic Segmentation Network With Multiscale Attention and Nonlocal Filters for High-Resolution Remote Sensing Images-Reference-Cited by-同舟云学术

MsanlfNet: Semantic Segmentation Network With Multiscale Attention and Nonlocal Filters for High-Resolution Remote Sensing Images

Author:

Bai Lin¹,Lin Xiangyuan¹^ORCID,Ye Zhen¹^ORCID,Xue Dongling¹^ORCID,Yao Cheng¹^ORCID,Hui Meng¹

Affiliation:

1. School of Electronics and Control Engineering, Chang’an University, Xi’an, China

Funder

Key Research and Technology Program of Shaanxi Province

Xi’an Science and Technology Project

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

Reference20 articles.

2. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

3. EPSANet: An efficient pyramid squeeze attention block on convolutional neural network;zhang;arXiv 2105 14447,2021

4. Global filter networks for image classification;rao;Proc Adv Neural Inf Process Syst (NeurIPS),2021

5. FNet: Mixing tokens with Fourier transforms;lee-thorp;arXiv 2105 03824,2021

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