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A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box

IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2020

15 April 2020

Papers citing "A Novel CNN-based Method for Accurate Ship Detection in HR Optical Remote Sensing Images via Rotated Bounding Box"

7 / 7 papers shown

On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation

Robin Ghyselinck

Valentin Delchevalerie

Bruno Dumas

Benoit Frénay

417

12 Dec 2024

Popeye: A Unified Visual-Language Model for Multi-Source Ship Detection from Remote Sensing Imagery

Tong Zhang

246

06 Mar 2024

SO(2) and O(2) Equivariance in Image Recognition with Bessel-Convolutional Neural Networks

Valentin Delchevalerie

Alexandre Mayer

Adrien Bibal

Benoit Frénay

125

18 Apr 2023

Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment

308

127

16 Oct 2022

Research on Mosaic Image Data Enhancement for Overlapping Ship Targets

11 May 2021

Learning Calibrated-Guidance for Object Detection in Aerial ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2021

Mingqiang Wei

350

21 Mar 2021

CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

378

217

18 Jan 2021