https://github.com/Boyiliee/MoEx

MoEx (Moment Exchange)
https://github.com/Boyiliee/MoEx

Last synced: 3 months ago
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MoEx (Moment Exchange)

• Host: GitHub
• URL: https://github.com/Boyiliee/MoEx
• Owner: Boyiliee
• License: bsd-3-clause
• Created: 2020-02-08T00:42:42.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-06-24T02:52:22.000Z (over 3 years ago)
• Last Synced: 2024-04-06T20:39:49.969Z (7 months ago)
• Language: Python
• Homepage:
• Size: 2.64 MB
• Stars: 142
• Watchers: 9
• Forks: 19
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# MoEx (Moment Exchange)

The official PyTorch implementation of the paper [On Feature Normalization and Data Augmentation](https://openaccess.thecvf.com/content/CVPR2021/papers/Li_On_Feature_Normalization_and_Data_Augmentation_CVPR_2021_paper.pdf).

CVPR 2021

#### Authors: 

* [Boyi Li](https://sites.google.com/site/boyilics/home)*

* [Felix Wu](https://scholar.google.com.tw/citations?user=sNL8SSoAAAAJ&hl=en)*

* [Ser-Nam Lim](https://www.linkedin.com/in/sernam/)

* [Serge Belongie](https://vision.cornell.edu/se3/people/serge-belongie/)

* [Kilian Q. Weinberger](http://kilian.cs.cornell.edu/index.html)

*: Equal Contribution

### Overview

This repo contains the PyTorch implementation of Moment Exchange (MoEx), described in the paper [On Feature Normalization and Data Augmentation](https://arxiv.org/abs/2002.11102). For ImageNet and CIFAR experiments, we select [Positional Normalization (PONO)](https://github.com/Boyiliee/PONO) as the feature normalization method. 

![](./figs/fig1.jpg)

#### Usage

Please follow the instructions in the `README.md` in each subfolder to run experiments with MoEx on [CIFAR](./CIFAR), [ImageNet](./ImageNet), and [ModelNet10/40](./ModelNet).

### Explorations beyond our paper

#### Methods for COVID‐19

* A Cascade‐SEME network for COVID‐19 detection in chest c‐ray images: [Paper](https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.14711?casa_token=y2QQkxTWYD0AAAAA%3AXwClYvwCDmRd4djy_i5Ps0qL64R5mwqlTRhGJCqn-pvzaxsTGuS9C_5f4wlb6M1-jAEJKftiU9BwwZfe)

More information and relevant applications will be updated.

If you find this repo useful, please cite:

```

@inproceedings{li2021feature,

  title={On feature normalization and data augmentation},

  author={Li, Boyi and Wu, Felix and Lim, Ser-Nam and Belongie, Serge and Weinberger, Kilian Q},

  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},

  pages={12383--12392},

  year={2021}

}

@inproceedings{li2019positional,

  title={Positional Normalization},

  author={Li, Boyi and Wu, Felix and Weinberger, Kilian Q and Belongie, Serge},

  booktitle={Advances in Neural Information Processing Systems},

  pages={1620--1632},

  year={2019}

}

```