ICNet (ECCV'2018)
@inproceedings{zhao2018icnet,
title={Icnet for real-time semantic segmentation on high-resolution images},
author={Zhao, Hengshuang and Qi, Xiaojuan and Shen, Xiaoyong and Shi, Jianping and Jia, Jiaya},
booktitle={Proceedings of the European conference on computer vision (ECCV)},
pages={405--420},
year={2018}
}
Backbone | Pretrain | Crop Size | Schedule | Train/Eval Set | mIoU | Download |
---|---|---|---|---|---|---|
R-50-D8 | ImageNet-1k-224x224 | 832x832 | LR/POLICY/BS/EPOCH: 0.01/poly/8/440 | train/val | 76.60% | cfg | model | log |
R-101-D8 | ImageNet-1k-224x224 | 832x832 | LR/POLICY/BS/EPOCH: 0.01/poly/8/440 | train/val | 76.27% | 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