SD-YOLO: High-precision network for SAR ship target detection-Reference-Cited by-同舟云学术

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SD-YOLO: High-precision network for SAR ship target detection

Published:2024-04-19 Issue: Volume:abs/2208.02474 Page:1030-1033
ISSN:
Container-title:2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

He Manman¹,Yin Zhijian¹,Liu Junya²,Yang Zhen³

Affiliation:

1. Jiangxi Science and Technology Normal University,School of Information and Mechanical and Electrical Engineering,Nanchang,China

2. Jiangxi Science and Technology Normal University,School of Foreign Languages,Nanchang,China

3. Jiangxi Science and Technology Normal University School,Guangdong Atv Academy for Performing Arts,Nanchang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603637.pdf?arnumber=10603637

Reference9 articles.

1. Cfar-net: deep learning for target detection with constant false alarm rate;Diskin;ArXiv,2022

2. A False Alarm Suppression Method Via Selective Anchor Generator for Ship Detection in Sar Images

3. A High-Effective Implementation of Ship Detector for SAR Images

4. A Lightweight Theory-Driven Network and Its Validation on Public Fully Polarized Ship Detection Dataset

5. A Mixed-Scale Self-Distillation Network for Accurate Ship Detection in SAR Images

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