https://github.com/xudejing/video-clip-order-prediction

Self-supervised Spatiotemporal Learning via Video Clip Order Prediction
https://github.com/xudejing/video-clip-order-prediction

cvpr2019 pytorch self-supervised-learning spatiotemporal video

Last synced: about 2 months ago
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Self-supervised Spatiotemporal Learning via Video Clip Order Prediction

• Host: GitHub
• URL: https://github.com/xudejing/video-clip-order-prediction
• Owner: xudejing
• Created: 2019-05-19T15:48:19.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2023-07-22T06:07:43.000Z (about 1 year ago)
• Last Synced: 2024-04-09T22:32:53.409Z (6 months ago)
• Topics: cvpr2019, pytorch, self-supervised-learning, spatiotemporal, video
• Language: Python
• Homepage:
• Size: 22.5 KB
• Stars: 99
• Watchers: 2
• Forks: 17
• Open Issues: 6
• Metadata Files:
  • Readme: README.md

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README

        
# VCOP

This is the implementation of our paper "[Self-supervised Spatiotemporal Learning via Video Clip Order Prediction](http://openaccess.thecvf.com/content_CVPR_2019/papers/Xu_Self-Supervised_Spatiotemporal_Learning_via_Video_Clip_Order_Prediction_CVPR_2019_paper.pdf)". 

### Environments

* Ubuntu 16.04

* Python 3.6.1

* Pytorch 0.4.1

### Prerequisits

1. Clone the repository to your local machine.

    ```

    $ git clone https://github.com/xudejing/VCOP.git

    ```

2. Install the python dependency packages.

    

    ```

    $ pip install -r requirements.txt

    ```

### Citation

If you find this code useful, please cite the following paper:

```

@inproceedings{xu2019self,

  title={Self-supervised Spatiotemporal Learning via Video Clip Order Prediction},

  author={Xu, Dejing and Xiao, Jun and Zhao, Zhou and Shao, Jian and Xie, Di and Zhuang, Yueting},

  booktitle={Computer Vision and Pattern Recognition (CVPR)}

  year={2019}

}

```