Rethinking Transformers for Semantic Segmentation of Remote Sensing Images
Author:
Affiliation:
1. School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10209224.pdf?arnumber=10209224
Reference69 articles.
1. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
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3. Deep learning in remote sensing applications: A meta-analysis and review
4. Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images
5. Multiattention Network for Semantic Segmentation of Fine-Resolution Remote Sensing Images
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