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Few-shot Object Detection on Remote Sensing Images

Introduction

This is the source code for our paper Few-shot Object Detection on Remote Sensing Images

Paper link: https://arxiv.org/abs/2006.07826

Network Architecture

The architecture of our proposed model is as follows

Results on NWPU and DIOR dataset

Installation

Please see YOLO-Low-Shot

• Clone this repo

git clone https://github.com/lixiang-ucas/FSODM.git

Dataset

• Download the NWPU dataset from (https://onedrive.live.com/?cid=5c5e061130630a68&id=5C5E061130630A68%21115&authkey=!ADaUNysmiFRH4eE)
• Download the DIOR dataset from (https://arxiv.org/abs/1909.00133?context=cs.CV)

Training & Testing

python train.py

Acknowledgements

This code is heavily borrowed from YOLO-Low-Shot

Citation

If you find this useful in your research, please consider citing:

@article{deng2020few, title={Few-shot Object Detection on Remote Sensing Images}, author={Deng, Jingyu and Li, Xiang and Fang, Yi}, journal={arXiv preprint arXiv:2006.07826}, year={2020} }