SegFast

This is the official implementation corresponding to

1. SegFast : A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions
2. SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving

Please cite the following articles if you use this model.

@inproceedings{segfast,
title = {SegFast : A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions},
author = {Pal, Anisha and Jaiswal, Shourya and Ghosh, Swarnendu and Das, Nibaran and Nasipuri, Mita},
booktitle = {11th Indian Conference on Computer Vision, Graphics and Image Processing},
year = {2018}
}

@article{segfastv2,
  title={SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving},
  author={Ghosh, Swarnendu and Pal, Anisha and Jaiswal, Shourya and Santosh, KC and Das, Nibaran and Nasipuri, Mita},
  journal={International Journal of Machine Learning and Cybernetics},
  volume={10},
  number={11},
  pages={3145--3154},
  year={2019},
  publisher={Springer}
}