ConvNeXt embedded U-Net for semantic segmentation in urban scenes of multi-scale targets

Abstract Semantic segmentation of urban scenes is essential in urban traffic analysis and road condition information acquisition. The semantic segmentation model with good performance is the key to applying high-resolution urban locations. However, the types of these images are diverse, and the spat...

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Bibliografiske detaljer

Principais autores:	Yanyan Wu, Qian Li
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2025-02-01
Serier:	Complex & Intelligent Systems
Fag:	Urban scene semantic segmentation Conv-UNet Residual pyramid network Spatial information interaction model
Online adgang:	https://doi.org/10.1007/s40747-024-01735-2
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