YOLOv8-UC: An Improved YOLOv8-Based Underwater Object Detection Algorithm

Underwater object detection technology is widely used in fields such as ocean exploration. However, due to the complex underwater environment, issues like light attenuation and scattering lead to low detection accuracy, which fails to meet the requirements. To address these issues, we propose an imp...

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Detalles Bibliográficos

Principais autores:	Jinghua Huang, Chao Fang, Xiaogang Zheng, Jue Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Access
Assuntos:	Deep learning underwater object detection DWR LSKA IoU loss function
Acceso en liña:	https://ieeexplore.ieee.org/document/10752531/
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