Ship target detection in SAR images based on SimAM attention YOLOv8
Abstract Deep learning has been widely applied in ship detection in synthetic aperture radar (SAR) imagery due to their powerful feature representation capabilities. However, YOLOv8 models treat all regions of the image equally during convolutional feature processing, resulting in less‐than‐ideal ou...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Wiley
2024-12-01
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| Schriftenreihe: | IET Communications |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1049/cmu2.12837 |
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