Learning Calibrated-Guidance for Object Detection in Aerial Images
Paper can be seen here https://arxiv.org/abs/2103.11399
Introduction
This codebase is created to build benchmarks for object detection in aerial images. It is modified from mmdetection. The master branch works with PyTorch 1.1 or higher. If you would like to use PyTorch 0.4.1, please checkout to the pytorch-0.4.1 branch.
License
This project is released under the Apache 2.0 license.
- You can find the detailed configs in configs/DOTA.
- The trained models are available at Google Drive.
Installation
Please refer to INSTALL.md for installation.
Get Started
Please see GETTING_STARTED.md for the basic usage of mmdetection.
Contributing
We appreciate all contributions to improve benchmarks for object detection in aerial images.
Citing
If you use our work, please consider cite:
@InProceedings{liang2021learning,
title={Learning Calibrated-Guidance for Object Detection in Aerial Images},
author={Dong, Liang and Zongqi, Wei and Dong, Zhang and Qixiang, Geng and Liyan, Zhang and Han, Sun and Huiyu, Zhou and Mingqiang, Wei and Pan, Gao},
booktitle ={arXiv:2103.11399},
year={2021}
}