Lightweight Road Environment Segmentation using Vector Quantization
Road environment segmentation plays a significant role in autonomous driving. Numerous works based on Fully Convolutional Networks (FCNs) and Transformer architectures have been proposed to leverage local and global contextual learning for efficient and accurate semantic segmentation. In both archit...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Copernicus Publications
2025-07-01
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| Серія: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Онлайн доступ: | https://isprs-annals.copernicus.org/articles/X-G-2025/519/2025/isprs-annals-X-G-2025-519-2025.pdf |
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