Optimized YOLOv8s framework with deformable convolution for underwater object detection
Abstract The booming aquatic economy drives demand for underwater object detection, which faces key challenges: small/occluded targets, variable object morphologies, and turbidity-induced low image quality. To address these, this paper proposes O-YOLOv8s-DC—an optimized YOLOv8s framework for deep le...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-11-01
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| Colecção: | Scientific Reports |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1038/s41598-025-28989-1 |
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