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sennnnn 2800d43507 [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_m-v2-d8_512x512_160k_ade20k.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
deeplabv3_m-v2-d8_512x1024_80k_cityscapes.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
deeplabv3plus_m-v2-d8_512x512_160k_ade20k.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
deeplabv3plus_m-v2-d8_512x1024_80k_cityscapes.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
fcn_m-v2-d8_512x512_160k_ade20k.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
fcn_m-v2-d8_512x1024_80k_cityscapes.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
mobilenet_v2.yml	[Enhancement] Change readme style and Update metafiles. (#895 )	2021-09-28 16:25:37 +08:00
pspnet_m-v2-d8_512x512_160k_ade20k.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00
pspnet_m-v2-d8_512x1024_80k_cityscapes.py	[Feature] Support MobileNetV2 backbone (#86 )	2020-09-04 15:35:52 +08:00

README.md

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Introduction

Official Repo

Code Snippet

MobileNetV2 (CVPR'2018)

@inproceedings{sandler2018mobilenetv2,
  title={Mobilenetv2: Inverted residuals and linear bottlenecks},
  author={Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},
  pages={4510--4520},
  year={2018}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FCN	M-V2-D8	512x1024	80000	3.4	14.2	61.54	-	config	model \| log
PSPNet	M-V2-D8	512x1024	80000	3.6	11.2	70.23	-	config	model \| log
DeepLabV3	M-V2-D8	512x1024	80000	3.9	8.4	73.84	-	config	model \| log
DeepLabV3+	M-V2-D8	512x1024	80000	5.1	8.4	75.20	-	config	model \| log

ADE20k

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
FCN	M-V2-D8	512x512	160000	6.5	64.4	19.71	-	config	model \| log
PSPNet	M-V2-D8	512x512	160000	6.5	57.7	29.68	-	config	model \| log
DeepLabV3	M-V2-D8	512x512	160000	6.8	39.9	34.08	-	config	model \| log
DeepLabV3+	M-V2-D8	512x512	160000	8.2	43.1	34.02	-	config	model \| log