Semantic Segmentation of High-Resolution Remote Sensing Images Using an Improved Transformer-Reference-Cited by-同舟云学术

Semantic Segmentation of High-Resolution Remote Sensing Images Using an Improved Transformer

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liu Yuheng¹,Mei Shaohui¹,Zhang Shun¹,Wang Ye¹,He Mingyi¹,Du Qian²

Affiliation:

1. School of Electronics and Information, Northwestern Polytechnical University,Xi'an,China,710129

2. Mississippi State University,Department of Electrical and Computer Engineering,Starkville,MS,USA,39762

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884103.pdf?arnumber=9884103

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5. Encoder-decoder with atrous separable convolution for semantic image segmentation;chen;Proceedings of the European Confer-ence on Computer Vision (ECCV),0

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