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https://github.com/stickcui/pytorch-se-resnet

SE-ResNet PyTorch Version
https://github.com/stickcui/pytorch-se-resnet

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SE-ResNet PyTorch Version

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# PyTorch-SE-ResNet
SE-ResNet PyTorch Version

I implement it for Place365 & Challenge AI Scene Classification.

# Implemented Net

- SE-ResNet (50, 101, 152)
- SE-ResNeXt (50, 101, 152)

other framework cound be easily implement to modify `model/model.py`.

Source Caffe codes are at [here](https://github.com/hujie-frank/SENet)

# Citation

If you use Squeeze-and-Excitation Networks in your research, please cite the paper:

@article{hu2017,
title={Squeeze-and-Excitation Networks},
author={Jie Hu and Li Shen and Gang Sun},
journal={arXiv preprint arXiv:1709.01507},
year={2017}
}