jiangyangby / DRDSC

Tensorflow implementation of Duet Robust Deep Subspace Clustering (DRDSC)

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

DRDSC

This is a TensorFlow implementation of the DRDSC model as described in our paper:

Y. Jiang, Z. Yang, Q. Xu, X. Cao and Q. Huang. Duet Robust Deep Subspace Clustering. ACM MM 2019.

Acknowledge

The implementation is based on Deep Subspace Clustering Network. We sincerely thank the authors for their work.

Dependencies

  • Tensorflow
  • numpy
  • sklearn
  • munkres
  • scipy

Data

The clean data and pre-trained auto-encoder model can be found here. You can add any type of corruptions (e.g., Gaussian noise or random pixel corruption) on these data. Please put the data in data/ and the pre-trained model in models/.

Citation

Please cite our paper if you use this code in your own work:

@inproceedings{jiang2019duet,
  title={Duet Robust Deep Subspace Clustering},
  author={Jiang, Yangbangyan and Xu, Qianqian and Yang, Zhiyong and Cao, Xiaochun and Huang, Qingming},
  booktitle={{ACM} International Conference on Multimedia},
  pages={1596--1604},
  year={2019}
}

About

Tensorflow implementation of Duet Robust Deep Subspace Clustering (DRDSC)

License:MIT License


Languages

Language:Python 100.0%