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Introduction

Official Repo

Code Snippet

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}
}

Results

CityScapes

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

More

You can also download the model weights from following sources: