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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Үндсэн зохиолчид:	Yanyan Wu, Qian Li
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Springer 2025-02-01
Цуврал:	Complex & Intelligent Systems
Нөхцлүүд:	Urban scene semantic segmentation Conv-UNet Residual pyramid network Spatial information interaction model
Онлайн хандалт:	https://doi.org/10.1007/s40747-024-01735-2
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!