Shared-weight-based Multi-dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery

This project is the official implementation of OA-Det.
The paper has been made available in open access format at [https://www.mdpi.com/1424-8220/23/1/207].
Our model is based on the MMRotate, an open-source toolbox for oriented object detection based on PyTorch.

Highlight

Main Results

Method	Dataset	Backbone	Input Size	mAP
OA-Det	DOTA 1.0	ResNet-101	1024 x 1024	78.11
OA-Det	HRSC2016	ResNet-101	800 x 800	90.10
OA-Det	UCAS-AOD	ResNet-101	800 x 800	90.29

• Visualization results on the test set of DOTA.

• Visualization results on HRSC2016.

• Visualization results on UCAS-AOD.

Citation

If you use our work in your research, please cite this project.

@article{OADet,
  title={Shared-Weight-Based Multi-Dimensional Feature Alignment Network for Oriented Object Detection in Remote Sensing Imagery},
  author={Hu, Xinxin and Zhu, Changming},
  journal={Sensors},
  volume={23},
  number={1},
  pages={207},
  year={2022},
  publisher={MDPI}
}

License

This project is released under the Apache 2.0 license.