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SAR Ship Detection

Ship detection based on SAR images

Papers

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Showing 1–15 of 15 papers

TitleStatusHype
R-Sparse R-CNN: SAR Ship Detection Based on Background-Aware Sparse Learnable ProposalsCode1
Two-Parameter CFAR Ship Detection Algorithm Based on Rayleigh Distribution in SAR ImagesCode1
The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data FusionCode1
Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing—0
Multitask Learning for SAR Ship Detection with Gaussian-Mask Joint Segmentation—0
A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning—0
RSNet: A Light Framework for The Detection of SAR Ship Detection—0
AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Network—0
Ship Detection in SAR Images with Human-in-the-Loop—0
Sar Ship Detection based on Swin Transformer and Feature Enhancement Feature Pyramid Network—0
SAR-ShipNet: SAR-Ship Detection Neural Network via Bidirectional Coordinate Attention and Multi-resolution Feature Fusion—0
Context-Preserving Instance-Level Augmentation and Deformable Convolution Networks for SAR Ship Detection—0
Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images—0
Boosting ship detection in SAR images with complementary pretraining techniques—0
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images—0
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