# CGNet: A Light-weight Context Guided Network for Semantic Segmentation

## Introduction

[ALGORITHM]

```latext
@article{wu2018cgnet,
  title={CGNet: A Light-weight Context Guided Network for Semantic Segmentation},
  author={Wu, Tianyi and Tang, Sheng and Zhang, Rui and Zhang, Yongdong},
  journal={arXiv preprint arXiv:1811.08201},
  year={2018}
}
```

## Results and models

### Cityscapes

|  Method   | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU  | mIoU(ms+flip) |                                                                                                                                                                                                          download                                                                                                                                                                                                          |
|-----------|----------|-----------|--------:|----------|----------------|------:|--------------:|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| CGNet | M3N21  | 680x680  |   60000 |      7.5 |           30.51 | 65.63 |     68.04 | [model](https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes_20201101_110253-4c0b2f2d.pth) | [log](https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_680x680_60k_cityscapes/cgnet_680x680_60k_cityscapes-20201101_110253.log.json) |
| CGNet | M3N21  | 512x1024 |   60000 |      8.3 |           31.14 | 68.27 |     70.33 | [model](https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes_20201101_110254-124ea03b.pth) | [log](https://download.openmmlab.com/mmsegmentation/v0.5/cgnet/cgnet_512x1024_60k_cityscapes/cgnet_512x1024_60k_cityscapes-20201101_110254.log.json) |