Recent advancements in underwater object detection with YOLOv8-YOLOv12: a structured review
Abstract Reliable underwater object detection (UOD) is critical for applications including marine ecosystem monitoring, aquaculture management, and subsea infrastructure inspection. However, underwater imagery is severely affected by wavelength-dependent attenuation, scattering, turbidity, low illum...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-07-01
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| Colecção: | Discover Computing |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s10791-026-10271-1 |
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