Heterogeneous attention fusion network with multi-branch decoding for UAV semantic segmentation
Abstract Semantic segmentation of Unmanned Aerial Vehicle (UAV) imagery remains a formidable task owing to extreme scale variation, cluttered backgrounds, and oblique viewing geometry. Existing approaches suffer from three interrelated limitations: (i) single-attention architectures employ only one...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2026-04-01
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| Schriftenreihe: | Journal of King Saud University: Computer and Information Sciences |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s44443-026-00757-9 |
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