VHRV: Very High-Resolution Benchmark Dataset for Vessel Detection

This publication has 12 references indexed in Scilit:

• Fully Deformable Convolutional Network for Ship Detection in Remote Sensing Imagery
  Remote Sensing, 2022
• Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
• ShipRSImageNet: A Large-Scale Fine-Grained Dataset for Ship Detection in High-Resolution Optical Remote Sensing Images
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
• Object detection in optical remote sensing images: A survey and a new benchmark
  ISPRS Journal of Photogrammetry and Remote Sensing, 2020
• Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection
  IEEE Transactions on Geoscience and Remote Sensing, 2019
• Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks
  Remote Sensing, 2018
• Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
• Vehicle detection in aerial imagery : A small target detection benchmark
  Journal of Visual Communication and Image Representation, 2016
• Multi-class geospatial object detection and geographic image classification based on collection of part detectors
  ISPRS Journal of Photogrammetry and Remote Sensing, 2014
• The Pascal Visual Object Classes (VOC) Challenge
  International Journal of Computer Vision, 2009