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

The demand of applying semantic segmentation model on mobile devices has been increasing rapidly. Current state-of-the-art networks have enormous amount of parameters hence unsuitable for mobile devices, while other small memory footprint models follow the spirit of classification network and ignore...

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Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 30; p. 1
Main Authors:	Wu, Tianyi, Tang, Sheng, Rui, Zhang, Cao, Juan, Zhang, Yongdong
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Computational modeling Computer architecture Context Context Guided Context modeling Electronic devices Global Context Image segmentation Mathematical models Memory devices Mobile handsets Parameters Post-production processing Predictive models Semantic Segmentation Semantics Surrounding Context
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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