SAR Ship Detection Based on an Improved Faster R-CNN Using Deformable Convolution-Reference-Cited by-同舟云学术

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SAR Ship Detection Based on an Improved Faster R-CNN Using Deformable Convolution

Published:2021-07-11 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Author:

Ke Xiao,Zhang Xiaoling,Zhang Tianwen,Shi Jun,Wei Shunjun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9553015/9553016/09554697.pdf?arnumber=9554697

Cited by 26 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. LSR-Det: A Lightweight Detector for Ship Detection in SAR Images Based on Oriented Bounding Box;Remote Sensing;2024-09-02

2. Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Laplace & LBP feature guided SAR ship detection method with adaptive feature enhancement block;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

4. Object-Enhanced YOLO Networks for Synthetic Aperture Radar Ship Detection;Remote Sensing;2024-03-12

5. CSEF-Net: Cross-Scale SAR Ship Detection Network Based on Efficient Receptive Field and Enhanced Hierarchical Fusion;Remote Sensing;2024-02-07

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