ERFNet (T-ITS'2017)
@article{romera2017erfnet,
title={Erfnet: Efficient residual factorized convnet for real-time semantic segmentation},
author={Romera, Eduardo and Alvarez, Jos{\'e} M and Bergasa, Luis M and Arroyo, Roberto},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={19},
number={1},
pages={263--272},
year={2017},
publisher={IEEE}
}
Segmentor | Pretrain | Backbone | Crop Size | Schedule | Train/Eval Set | mIoU | Download |
---|---|---|---|---|---|---|---|
FCN | - | ERFNet | 512x1024 | LR/POLICY/BS/EPOCH: 0.01/poly/16/860 | train/val | 76.44% | cfg | model | log |
You can also download the model weights from following sources:
- BaiduNetdisk: https://pan.baidu.com/s/1gD-NJJWOtaHCtB0qHE79rA with access code s757