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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Vydané v:	Applied soft computing Ročník 165; s. 112065
Hlavní autori:	Liu, Dian, Du, Jianchao, Li, Chuhan, Yu, Chenglong, Zhang, Mingjin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.11.2024
Predmet:	Encoder and decoder Resource-constrained inference Semantic segmentation Unmanned driving Encoder and decoder Resource-constrained inference Semantic segmentation Unmanned driving
ISSN:	1568-4946
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