History

sennnnn 2aa632ebe7 [Enhancement] Change readme style and Update metafiles. (#895 ) * [Enhancement] Change readme style and prepare for metafiles update. * Update apcnet github repo url. * add code snippet. * split code snippet & official repo. * update md2yml hook. * Update metafiles. * Add converted from attribute. * process conflict. * Put defualt variable value. * update bisenet v2 metafile. * checkout to ubuntu environment. * pop empty attribute & make task attribute list. * update readme style * update readme style * update metafiles Co-authored-by: Junjun2016 <hejunjun@sjtu.edu.cn>		2021-09-28 16:25:37 +08:00
..
README.md	[Enhancement] Change readme style and Update metafiles. (#895 )	2021-09-28 16:25:37 +08:00
emanet.yml	[Enhancement] Change readme style and Update metafiles. (#895 )	2021-09-28 16:25:37 +08:00
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

README.md

Expectation-Maximization Attention Networks for Semantic Segmentation

Introduction

Official Repo

Code Snippet

EMANet (ICCV'2019)

@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