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Code for "Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization", ICASSP2020

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Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization

Code for Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization, ICASSP2020

Requirements

  • PyTorch >= 1.0
  • scikit-image
  • NumPy
  • Matplotlib

Usage

python spix_rim.py --image /path/to/image

Citation

@inproceedings{suzuki2020superpixel,
  title={Superpixel Segmentation Via Convolutional Neural Networks with Regularized Information Maximization},
  author={Suzuki, Teppei},
  booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages={2573--2577},
  year={2020},
  organization={IEEE}
}

LICENCE

Copyright (C) 2020 Denso IT Laboratory, Inc. All Rights Reserved

Denso IT Laboratory, Inc. retains sole and exclusive ownership of all intellectual property rights including copyrights and patents related to this Software.

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Code for "Superpixel Segmentation via Convolutional Neural Networks with Regularized Information Maximization", ICASSP2020

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