A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images (IEEE GRSL 2024)

This repository contains python implementation of our paper ESG_TODNet.

1. Required environments:

• Linux
• Python 3.6+
• PyTorch 1.3+
• CUDA 9.2+
• GCC 5+
• MMCV
• cocoapi-aitod

2. Install and start ESG_TODNet:

Note that our ESG_TODNet is based on the MMDetection 2.24.1. Assume that your environment has satisfied the above requirements, please follow the following steps for installation.

git clone https://github.com/dyl96/ESG_TODNet.git
cd ESG_TODNet
pip install -r requirements/build.txt
python setup.py develop

Download AI-TODv2 dataset

Get Started

python tools/train.py configs_esg/ESG_TODNet/aitodv2_fcos_r50_p2_esg_3x.py

3. Result

4. Citation

Please cite our paper if you find the work useful:

@ARTICLE{10462223,
  author={Liu, Dongyang and Zhang, Junping and Qi, Yunxiao and Wu, Yinhu and Zhang, Ye},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={A Tiny Object Detection Method Based on Explicit Semantic Guidance for Remote Sensing Images}, 
  year={2024},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/LGRS.2024.3374418}}