Maximum Entropy Subspace Clustering Network

URL_arXiv: https://arxiv.org/pdf/2012.03176.pdf

URL_IEEE: https://ieeexplore.ieee.org/iel7/76/4358651/09455383.pdf

We have added comments in the code, the specific details can correspond to the explanation in the paper.

We appreciate it if you use this code and cite our paper, which can be cited as follows,

@ARTICLE{9455383,
author={Peng, Zhihao and Jia, Yuheng and Liu, Hui and Hou, Junhui and Zhang, Qingfu},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={Maximum Entropy Subspace Clustering Network},
year={2022},
volume={32},
number={4},
pages={2199-2210},
doi={10.1109/TCSVT.2021.3089480}
}

Environment

• Tensorflow[2.1.0]
• Python[3.6.10]
• Pytorch
  • Pytorch implementation of DSC-Net by Guo(https://github.com/XifengGuo/DSC-Net).

Remark

• Error[ModuleNotFoundError: No module named 'tensorflow.contrib']
  • As the contrib module doesn't exist in TF2.0, it is advised to use "tf.compat.v1.keras.initializers.he_normal()" as the initializer.
• Error[which is resulted from the case that TensorFlow 1.x migrated to 2.x]
  • It is advised to use the "tf.compat.v1.XXX" for code compatibility processing.
• Error[RuntimeError: tf.placeholder() is not compatible with eager execution]
  • It is advised to use the "tf.compat.v1.disable_eager_execution()".