EDANet in PyTorch

This repository contains the EDANet (reproduced by PyTorch) for "Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation." which modified from ERFNet.

Pipeline

Network Architecture

Detail

Contact

[email protected]

Any discussions or concerns are welcomed!

Citation

If you find this paper useful in your research, please consider citing:

@article{
  title={Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation},
  author={Shao-Yuan Lo, Hsueh-Ming Hang, Sheng-Wei Chan, Jing-Jhih Lin},
  journal={arXiv preprint arXiv:1809.06323},
  year={2018}
}

Acknowledgement

1. Shao-Yuan Lo who helps me check the code
2. Eduardo Romera who gives me some suggestions on learning semantic segmentation