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 |