Multi-unit stacked architecture: An urban scene segmentation network based on UNet and ShuffleNetv2

Classic high-accuracy semantic segmentation models typically come with a large number of parameters, making them unsuitable for deployment on driverless platforms with limited computational power. To strike a balance between accuracy and limited computational budget, and enable the use of the classi...

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Bibliographic Details

Published in:	Applied soft computing Vol. 165; p. 112065
Main Authors:	Liu, Dian, Du, Jianchao, Li, Chuhan, Yu, Chenglong, Zhang, Mingjin
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.11.2024
Subjects:	Encoder and decoder Resource-constrained inference Semantic segmentation Unmanned driving Encoder and decoder Resource-constrained inference Semantic segmentation Unmanned driving
ISSN:	1568-4946
Online Access:	Get full text
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