Lightweight SAR Ship Detection Network Based on Transformer and Feature Enhancement
Author:
Affiliation:
1. School of Digital and Intelligence Industry, Inner Mongolia University of Science and Technology, Baotou, China
2. School of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Inner Mongolia Autonomous Region
Central Government Guides Local Science and Technology Development Fund Project of China
Fundamental Research Funds for Inner Mongolia University of Science and Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/4609443/10330207/10423087.pdf?arnumber=10423087
Reference41 articles.
1. A novel sarnede method for real-time ship detection from synthetic aperture radar image
2. Sar-Shipnet: Sar-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-Resolution Feature Fusion
3. SAR Image Ship Detection Based on Scene Interpretation
4. Feature Enhancement Pyramid and Shallow Feature Reconstruction Network for SAR Ship Detection
5. A Mixed-Scale Self-Distillation Network for Accurate Ship Detection in SAR Images
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Lightweight Ship Detection Network for SAR Range-Compressed Domain;Remote Sensing;2024-09-04
2. Data Matters: Rethinking the Data Distribution in Semi-Supervised Oriented SAR Ship Detection;Remote Sensing;2024-07-11
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