| # 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) | download | | |
| |------------|-----------|-----------|--------:|----------|----------------|------:|---------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | |
| | Fast-SCNN | Fast-SCNN | 512x1024 | 80000 | 8.4 | 63.61 | 69.06 | - | [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) | | |