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:
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}
}@inproceedings{P2BNet,
author = {Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen
Li, Jian Zhao, Humphrey Shi, Zhenjun Han, and Qixiang Ye},
title = {Point-to-Box Network for Accurate Object Detection via Single Point Supervision},
booktitle = {ECCV},
year = {2022},
}@inproceedings{SSDDET,
author = {Wu, Di and Chen, Pengfei and Yu, Xuehui and Li,
Guorong and Han, Zhenjun and Jiao, Jianbin},
title = {Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes},
booktitle = {ICCV},
year = {2023},
}