History

谢昕辰 a95f6d8173 [Feature] support mim (#549 ) * dice loss * format code, add docstring and calculate denominator without valid_mask * minor change * restore * add metafile * add manifest.in and add config at setup.py * add requirements * modify manifest * modify manifest * Update MANIFEST.in * add metafile * add metadata * fix typo * Update metafile.yml * Update metafile.yml * minor change * Update metafile.yml * add subfix * fix mmshow * add more metafile * add config to model_zoo * fix bug * Update mminstall.txt * [fix] Add models * [Fix] Add collections * [fix] Modify collection name * [Fix] Set datasets to unet metafile * [Fix] Modify collection names * complement inference time		2021-05-31 15:07:24 -07:00
..
README.md	comment tag (#505 )	2021-04-24 09:58:59 -07:00
cgnet_512x1024_60k_cityscapes.py	[New model] Support CGNet (#223 )	2020-11-03 00:05:25 -08:00
cgnet_680x680_60k_cityscapes.py	[New model] Support CGNet (#223 )	2020-11-03 00:05:25 -08:00
metafile.yml	[Feature] support mim (#549 )	2021-05-31 15:07:24 -07:00

README.md

CGNet: A Light-weight Context Guided Network for Semantic Segmentation

Introduction

@article{wu2020cgnet,
  title={Cgnet: A light-weight context guided network for semantic segmentation},
  author={Wu, Tianyi and Tang, Sheng and Zhang, Rui and Cao, Juan and Zhang, Yongdong},
  journal={IEEE Transactions on Image Processing},
  volume={30},
  pages={1169--1179},
  year={2020},
  publisher={IEEE}
}

Results and models

Cityscapes

Method	Backbone	Crop Size	Lr schd	Mem (GB)	Inf time (fps)	mIoU	mIoU(ms+flip)	config	download
CGNet	M3N21	680x680	60000	7.5	30.51	65.63	68.04	config	model \| log
CGNet	M3N21	512x1024	60000	8.3	31.14	68.27	70.33	config	model \| log