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# Fast-SCNN for Semantic Segmentation | |
## Introduction | |
<!-- [ALGORITHM] --> | |
```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} | |
} | |
``` | |
## Results and models | |
### Cityscapes | |
| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | config | download | | |
| --------- | --------- | --------- | ------: | -------- | -------------- | ----: | ------------- | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | |
| Fast-SCNN | Fast-SCNN | 512x1024 | 80000 | 8.4 | 63.61 | 69.06 | - | [config](https://github.com/open-mmlab/mmsegmentation/blob/master/configs/fast_scnn.py) | [model](https://download.openmmlab.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_4x8_80k_lr0.12_cityscapes-f5096c79.pth) | [log](https://download.openmmlab.com/mmsegmentation/v0.5/fast_scnn/fast_scnn_4x8_80k_lr0.12_cityscapes-20200807_165744.log.json) | | |