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Readme for Fast-SCNN added.

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# Fast-SCNN for Semantic Segmentation
## Introduction
```
@article{DBLP:journals/corr/abs-1902-04502,
author = {Rudra P. K. Poudel and
Stephan Liwicki and
Roberto Cipolla},
title = {Fast-SCNN: Fast Semantic Segmentation Network},
journal = {CoRR},
volume = {abs/1902.04502},
year = {2019},
url = {http://arxiv.org/abs/1902.04502},
archivePrefix = {arXiv},
eprint = {1902.04502},
timestamp = {Tue, 21 May 2019 18:03:38 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1902-04502.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
```
## Results and models
### Cityscapes
| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | download |
|------------|-----------|-----------|--------:|----------|----------------|------:|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Fast-SCNN | Fast-SCNN | 512x1024 | 80000 | 8.4 | 63.61 | 69.06 | - | [model](https://openmmlab.oss-cn-hangzhou.aliyuncs.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_4x8_80k_lr0.12_cityscapes-cae6c46a.pth) | [log](https://openmmlab.oss-cn-hangzhou.aliyuncs.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_4x8_80k_lr0.12_cityscapes-20200807_165744.log.json) |