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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Bibliographic Details

Published in:	Complex & Intelligent Systems
Main Authors:	Yanyan Wu, Qian Li
Format:	Article
Language:	English
Published:	Springer 2025-02-01
Subjects:	Urban scene semantic segmentation Conv-UNet Residual pyramid network Spatial information interaction model
Online Access:	https://doi.org/10.1007/s40747-024-01735-2