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README.md
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README.md
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## Introduction
<a href="">Official Repo</a>
<a href="https://github.com/SegmentationBLWX/sssegmentation/blob/main/ssseg/modules/models/backbones/fastscnn.py">Code Snippet</a>
<details>
<summary align="left"><a href="https://arxiv.org/pdf/1902.04502.pdf">Fast-SCNN (ArXiv'2019)</a></summary>
```latex
@article{poudel2019fast,
title={Fast-scnn: Fast semantic segmentation network},
author={Poudel, Rudra PK and Liwicki, Stephan and Cipolla, Roberto},
journal={arXiv preprint arXiv:1902.04502},
year={2019}
}
```
</details>
## Results
#### CityScapes
| Segmentor | Pretrain | Backbone | Crop Size | Schedule | Train/Eval Set | mIoU | Download |
| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: |
| DepthwiseSeparableFCN | - | FastSCNN | 512x1024 | LR/POLICY/BS/EPOCH: 0.12/poly/32/1750 | train/val | 71.53% | [cfg](https://raw.githubusercontent.com/SegmentationBLWX/sssegmentation/main/ssseg/configs/fastscnn/depthwiseseparablefcn_fastscnn_cityscapes.py) | [model](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_fastscnn/depthwiseseparablefcn_fastscnn_cityscapes.pth) | [log](https://github.com/SegmentationBLWX/modelstore/releases/download/ssseg_fastscnn/depthwiseseparablefcn_fastscnn_cityscapes.log) |
## More
You can also download the model weights from following sources:
- BaiduNetdisk: https://pan.baidu.com/s/1gD-NJJWOtaHCtB0qHE79rA with access code **s757**