Boosting Semantic Segmentation with Semantic Boundaries

This repository contains the code for our paper "Boosting Semantic Segmentation with Semantic Boundaries".

@article{ishikawa2023SBDboost,
  title={Boosting Semantic Segmentation with Semantic Boundaries},
  author={Ishikawa, Haruya and Aoki Yoshimitsu},
  journal={Sensors},
  year={2023},
  volume={23},
  pages={6980},
  doi={https://doi.org/10.3390/s23156980}
}
@article{ishikawa2023SBDboost_preprint,
  title={Boosting Semantic Segmentation with Semantic Boundaries},
  author={Ishikawa, Haruya and Aoki Yoshimitsu},
  journal={arXiv preprint arXiv: http://arxiv.org/abs/2304.09427},
  year={2023}
}

Guides

• Installation/Setup
  • If you are not used to the mmseg ecosystem, these guides might helpful
• How to apply SBCB for your own model
  • Guides for applying the SBCB framework to your own model
• Reproducing results for used in our paper
  • Guides for reproducing the results in our paper
  • Currently supports DeepLabV3, DeepLabV3+, and PSPNet
  • 4/27: Also added configs for SegFormer