RAP

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# RAP
This repository is for Reinforced-Attention Policy (RAP) model introduced in the following paper:  
**"Reinforced Attention for Few-Shot Learning and Beyond"**

## Paper and Citation  
If you find our paper/code is useful, please cite:
```
@InProceedings{Hong_2021_CVPR,
               author    = {Hong, Jie and Fang, Pengfei and Li, Weihao and Zhang, Tong and Simon, Christian and Harandi, Mehrtash and Petersson, Lars},
               title     = {Reinforced Attention for Few-Shot Learning and Beyond},
               booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
               month     = {June},
               year      = {2021},
               pages     = {913-923}
               }
```

## Environments and Datasets
Download the datasets, set the environments and prepare the pre-trained models following the project [```CloserLookFewShot```](https://github.com/wyharveychen/CloserLookFewShot).

## Running the Code
Configure parameters in job.sh, and run:
```
sh job.sh
```

RAP

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