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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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2025-02-01
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| Col·lecció: | Complex & Intelligent Systems |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s40747-024-01735-2 |
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