BiSegUNet: An Efficient Binary Convolution Network With Multi-Scale Feature Refinement for Semantic Segmentation
Semantic segmentation is critical for applications like autonomous driving, medical imaging, and urban monitoring. However, existing state-of-the-art models often require high computational and memory resources, making them unsuitable for real-time and resource-constrained environments. This paper i...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2026-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11308093/ |
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