# TinyBenchmark
**Repository Path**: pluto1314/TinyBenchmark
## Basic Information
- **Project Name**: TinyBenchmark
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-05-30
- **Last Updated**: 2021-09-20
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# Scale Match for Tiny Person Detection
------------------------
[[paper]](http://openaccess.thecvf.com/content_WACV_2020/papers/Yu_Scale_Match_for_Tiny_Person_Detection_WACV_2020_paper.pdf) [[ECCVW]](https://rlq-tod.github.io/challenge1.html)
[[challenge]](https://competitions.codalab.org/competitions/24551)
## TODO list
1. add a tutorial that how to train on TinyPerson with scale match on COCO
2. add a tutorial that how to train on other dataset
3. add a tutorial that how to train a strong baseline for competetion
## TinyPerson Dataset
The dataset will be used to for ECCV2020 workshop [RLQ-TOD'20 @ ECCV](https://rlq-tod.github.io/challenge1.html), [TOD challenge](https://competitions.codalab.org/competitions/24551)
#### Download link:
[Official Site](http://vision.ucas.ac.cn/resource.asp): recomended, download may faster
[Baidu Pan](https://pan.baidu.com/s/1kkugS6y2vT4IrmEV_2wtmQ) password: pmcq
[Google Driver](https://drive.google.com/open?id=1KrH9uEC9q4RdKJz-k34Q6v5hRewU5HOw)
For more details about TinyPerson dataset, please see [Dataset](dataset/).

## Tiny Benchmark
The benchmark is based on [maskrcnn_benchmark](https://github.com/facebookresearch/maskrcnn-benchmark) and [citypersons code](https://bitbucket.org/shanshanzhang/citypersons/src/default/evaluation/).
For more details about the benchmark, please see [Tiny Benchmark](tiny_benchmark/).
## Scale Match

## Citation
If you use the code and benchmark in your research, please cite:
```
@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}
}
```