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Benyi Hu, Ren-Jie Song, Xiu-Shen Wei*, Yazhou Yao, Xian-Sheng Hua, Yuehu Liu
Correspond author: [Xiu-Shen Wei](http://www.weixiushen.com/)
## Introduction
PyRetri (pronounced as [ˈperɪˈtriː]) is a unified deep learning based unsupervised image retrieval toolbox based on PyTorch, which is designed for researchers and engineers.
PyRetri (pronounced as [ˈperɪˈtriː]) is a unified deep learning based unsupervised image retrieval toolbox built on PyTorch, which is designed for researchers and engineers.
![image](teaser_image/overview.png)
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- [DBA](https://www.robots.ox.ac.uk/~vgg/publications/2012/Arandjelovic12/arandjelovic12.pdf)
- [QE](https://www.robots.ox.ac.uk/~vgg/publications/papers/chum07b.pdf), [K-reciprocal](https://arxiv.org/pdf/1701.08398.pdf)
## Some News
## Updates
**06 May 2020:** Our paper is online, you are welcomed to download the paper at [here](https://128.84.21.199/abs/2005.02154).
## License
This project is released under the [Apache 2.0 license](LICENSE).
**29 April 2020:** Our PyRetri is launched!
## Installation
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Results and models are available in [MODEL_ZOO.md](docs/MODEL_ZOO.md).
## License
This project is released under the [Apache 2.0 license](LICENSE).
## Citation
If you use this toolbox in your research, please cite this project.
If you use this toolbox in your research, please cite this paper.
```
@article{PyRetri,