https://github.com/ucas-vg/PointTinyBenchmark
Point based and tiny object detection and localization code set of UCAS-VG
https://github.com/ucas-vg/PointTinyBenchmark
benchmark dataset detection eccvw localization point-supervision scale-match tiny-object
Last synced: 7 days ago
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Point based and tiny object detection and localization code set of UCAS-VG
- Host: GitHub
- URL: https://github.com/ucas-vg/PointTinyBenchmark
- Owner: ucas-vg
- License: mit
- Created: 2019-12-21T14:59:18.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-23T17:46:01.000Z (7 months ago)
- Last Synced: 2025-05-08T00:03:02.255Z (12 days ago)
- Topics: benchmark, dataset, detection, eccvw, localization, point-supervision, scale-match, tiny-object
- Language: Python
- Homepage: http://vision.ucas.ac.cn/sources
- Size: 46 MB
- Stars: 668
- Watchers: 20
- Forks: 78
- Open Issues: 34
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-Crowd-Localization - Link
README
# PointTinyBenchmark
--------------
PointTinyBenchmark is an open source toolbox for object localization and detection tasks on top of [mmdetection](https://github.com/open-mmlab/mmdetection).
To date, It implements the following benchmark and algorithms:
* [Scale Match for TinyPerson Detection (WACV2020)](https://arxiv.org/abs/1912.10664) [Detail](TOV_mmdetection/docs/tov/)
* [Object Localization under Single Coarse Point Supervision (CVPR2022)](https://arxiv.org/abs/2203.09338) [Detail](TOV_mmdetection/docs/cpr)
* [Point-to-Box Network for Accurate Object Detection via Single Point Supervision (ECCV2022)](https://arxiv.org/abs/2207.06827) [Detail](https://github.com/ucas-vg/PointTinyBenchmark/tree/P2BNet)
* [Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes (ICCV2023)]() [Detail](https://github.com/ucas-vg/PointTinyBenchmark/tree/SSD-Det)
* [CPR++: Object Localization via Single Coarse Point Supervision (TPAMI2024)](https://arxiv.org/abs/2401.17203) [come soon]()
## News
## Others
- For the old version code or TinyPerson(version 1) dataset [Scale Match for Tiny Person Detection](https://github.com/ucas-vg/PointTinyBenchmark/tree/TinyBenchmark), refer to the [TinyBenchmark branch](https://github.com/ucas-vg/PointTinyBenchmark/tree/TinyBenchmark)
## 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}
}
```
```
@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},
}
```