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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
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README.md	[Enhancement] Change readme style and Update metafiles. (#895 )	2021-09-28 16:25:37 +08:00
deeplabv3_s101-d8_512x512_160k_ade20k.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
deeplabv3_s101-d8_512x1024_80k_cityscapes.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
deeplabv3plus_s101-d8_512x512_160k_ade20k.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
deeplabv3plus_s101-d8_512x1024_80k_cityscapes.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
fcn_s101-d8_512x512_160k_ade20k.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
fcn_s101-d8_512x1024_80k_cityscapes.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
pspnet_s101-d8_512x512_160k_ade20k.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
pspnet_s101-d8_512x1024_80k_cityscapes.py	Support ResNeSt backbone (#47 )	2020-08-17 00:54:01 +08:00
resnest.yml	[Enhancement] Change readme style and Update metafiles. (#895 )	2021-09-28 16:25:37 +08:00

README.md

ResNeSt: Split-Attention Networks

Introduction

Official Repo

Code Snippet

ResNeSt (ArXiv'2020)

@article{zhang2020resnest,
title={ResNeSt: Split-Attention Networks},
author={Zhang, Hang and Wu, Chongruo and Zhang, Zhongyue and Zhu, Yi and Zhang, Zhi and Lin, Haibin and Sun, Yue and He, Tong and Muller, Jonas and Manmatha, R. and Li, Mu and Smola, Alexander},
journal={arXiv preprint arXiv:2004.08955},
year={2020}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FCN	S-101-D8	512x1024	80000	11.4	2.39	77.56	78.98	config	model \| log
PSPNet	S-101-D8	512x1024	80000	11.8	2.52	78.57	79.19	config	model \| log
DeepLabV3	S-101-D8	512x1024	80000	11.9	1.88	79.67	80.51	config	model \| log
DeepLabV3+	S-101-D8	512x1024	80000	13.2	2.36	79.62	80.27	config	model \| log

ADE20k

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FCN	S-101-D8	512x512	160000	14.2	12.86	45.62	46.16	config	model \| log
PSPNet	S-101-D8	512x512	160000	14.2	13.02	45.44	46.28	config	model \| log
DeepLabV3	S-101-D8	512x512	160000	14.6	9.28	45.71	46.59	config	model \| log
DeepLabV3+	S-101-D8	512x512	160000	16.2	11.96	46.47	47.27	config	model \| log