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History

[Enhancement] md2yml pre-commit hook (#732 )

* init script

* update scripts and generate new yml

* fix lint: deeplabv3plus.yml

* modify resolution representation

* remove  field

* format crop_size

2021-07-31 09:31:58 -07:00

emanet_r50-d8_512x1024_80k_cityscapes.py

[Feature] Support EMANet (#34 )

2020-09-07 13:06:59 +08:00

emanet_r50-d8_769x769_80k_cityscapes.py

[Improvement] Move train_cfg/test_cfg inside model (#341 )

2021-01-19 17:06:23 -08:00

emanet_r101-d8_512x1024_80k_cityscapes.py

[Feature] Support EMANet (#34 )

2020-09-07 13:06:59 +08:00

emanet_r101-d8_769x769_80k_cityscapes.py

[Feature] Support EMANet (#34 )

2020-09-07 13:06:59 +08:00

emanet.yml

[Enhancement] md2yml pre-commit hook (#732 )

2021-07-31 09:31:58 -07:00

README.md

comment tag (#505 )

2021-04-24 09:58:59 -07:00

README.md

Expectation-Maximization Attention Networks for Semantic Segmentation

Introduction

@inproceedings{li2019expectation,
  title={Expectation-maximization attention networks for semantic segmentation},
  author={Li, Xia and Zhong, Zhisheng and Wu, Jianlong and Yang, Yibo and Lin, Zhouchen and Liu, Hong},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  pages={9167--9176},
  year={2019}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
EMANet	R-50-D8	512x1024	80000	5.4	4.58	77.59	79.44	config	model \| log
EMANet	R-101-D8	512x1024	80000	6.2	2.87	79.10	81.21	config	model \| log
EMANet	R-50-D8	769x769	80000	8.9	1.97	79.33	80.49	config	model \| log
EMANet	R-101-D8	769x769	80000	10.1	1.22	79.62	81.00	config	model \| log