PointTinyBenchmark

PointTinyBenchmark is an open source toolbox for object localization and detection tasks on top of mmdetection.

To date, It implements the following benchmark and algorithms:

• Scale Match for TinyPerson Detection (WACV2020)
• Object Localization under Single Coarse Point Supervision (CVPR2022)

News

Others

• For the old version code or TinyPerson(version 1) dataset Scale Match for Tiny Person Detection, refer to the TinyBenchmark branch

Citation

And if the following works do some help for your research, please cite:

@inproceedings{CPR,
  author    = {Yu, Xuehui and Chen, Pengfei and Wu, Di and Hassan, Najmul and Li,
Guorong and Yan, Junchi and Shi, Humphrey and Ye, Qixiang and Han, Zhenjun},
  title     = {Object Localization under Single Coarse Point Supervision},
  booktitle = {CVPR},
  year      = {2022},
}

@article{yu20201st,
  title={The 1st Tiny Object Detection Challenge: Methods and Results},
  author={Yu, Xuehui and Han, Zhenjun and Gong, Yuqi and Jan, Nan and Zhao, Jian and Ye, Qixiang and Chen, Jie and Feng, Yuan and Zhang, Bin and Wang, Xiaodi and others},
  journal={arXiv preprint arXiv:2009.07506},
  year={2020}
}

@inproceedings{yu2020scale,
  title={Scale Match for Tiny Person Detection},
  author={Yu, Xuehui and Gong, Yuqi and Jiang, Nan and Ye, Qixiang and Han, Zhenjun},
  booktitle={The IEEE Winter Conference on Applications of Computer Vision},
  pages={1257--1265},
  year={2020}
}