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Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

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A Normalized Gaussian Wasserstein Distance for Tiny Object Detection

This is the official code for the NWD. The expanded method is received by the ISPRS JP & RS in 2022.

Installation

You can refer to MMDetection to install and run this project.

mmcv-aitod needs to be installed for replacing official mmcv. cocoapi-aitod can be used to evaluate performance on AI-TOD.

Run

The NWD's config files are in configs/aitod.

Citation

@article{NWD_2021_arXiv,
  title={A Normalized Gaussian Wasserstein Distance for Tiny Object Detection},
  author={Wang, Jinwang and Xu, Chang and Yang, Wen and Yu, Lei},
  journal={arXiv preprint arXiv:2110.13389},
  year={2021}
}
@article{NWD_2021_arXiv,
  title={Detecting Tiny Objects in Aerial Images: A Normalized Wasserstein Distance and A New Benchmark},
  author={Xu, Chang and Wang, Jinwang and and Yang, Wen and Yu, Huai and Yu, Lei and Xia, Gui-Song},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS J P & RS)},
  year={2022}
}

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  • Python 80.9%
  • C++ 10.1%
  • Cuda 8.2%
  • Shell 0.8%
  • C 0.0%
  • Dockerfile 0.0%