FunnelAct

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- frelu.py
- inference.py
- resnet.py
- test.py
- train.py
- frelu_light.py
- inference.py
- shufflenet_v2.py
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README.md

// repository documentation

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# [Funnel Activation for Visual Recognition]()
This repository provides MegEngine implementation for "[Funnel Activation for Visual Recognition](https://arxiv.org/pdf/2007.11824.pdf)".

<img width="869" height="444" src="figures/frelu.png"/>

## Requirement
- MegEngine 0.5.1 (https://github.com/MegEngine/MegEngine)

## Citation
If you use these models in your research, please cite:

@inproceedings{ma2020funnel, 
                title={Funnel activation for visual recognition},  
                author={Ma, Ningning and Zhang, Xiangyu and Sun, Jian},  
                booktitle={Proceedings of the European Conference on Computer Vision (ECCV)},  
                year={2020} 
    }

## Usage
Train:
```
    python3 train.py --dataset-dir=/path/to/imagenet
```

Eval:
```
    python3 test.py --data=/path/to/imagenet --model /path/to/model --ngpus 1
```

Inference:
```
    python3 inference.py --model /path/to/model --image /path/to/image.jpg
```

## Trained Models
- OneDrive download: [Link](https://1drv.ms/u/s!AgaP37NGYuEXhVeOfq7Ksp6t1ZNI?e=vNOGfE)

## Results

<img width="709" height="394" src="figures/frelu_result.png"/>

- Comparison on ImageNet dataset:

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