f5eb7f2627
* added cgnet * added testing for cgnet * git test * add cgnet * fix __init__ * rename FGlo with GlobalContextExtractor * add readme.md and rename bn with norm * delete cg_head * fix a language mistake * rename cgnet_m3n21.py to cgnet.py * modify README.md * modify list to tuple * add fcn_head test * add assert to fcn_head * blank * fix fcn_head assert bug * add * add cgnet to README.md and model_zoo.md * modify cgnet README.md Co-authored-by: KID <wps_@mail.nankai.edu.cn>
22 lines
2.2 KiB
Markdown
22 lines
2.2 KiB
Markdown
# CGNet: A Light-weight Context Guided Network for Semantic Segmentation
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## Introduction
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```latext
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@article{wu2018cgnet,
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title={CGNet: A Light-weight Context Guided Network for Semantic Segmentation},
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author={Wu, Tianyi and Tang, Sheng and Zhang, Rui and Zhang, Yongdong},
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journal={arXiv preprint arXiv:1811.08201},
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year={2018}
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}
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```
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## Results and models
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### Cityscapes
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| Method | Backbone | Crop Size | Lr schd | Mem (GB) | Inf time (fps) | mIoU | mIoU(ms+flip) | download |
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|-----------|----------|-----------|--------:|----------|----------------|------:|--------------:|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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| 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) |
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| 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) |
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