An improved YOLOv8 model enhanced with detail and global features for underwater object detection

Underwater object detection is significant for the practical research of mastering existing marine biological resources. In response to the challenges posed by complex underwater environments such as water scattering and variations in object scales, researchers have developed YOLOv8 for object detec...

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Veröffentlicht in:	Physica scripta 2024-09, Vol.99 (9), p.96008
Hauptverfasser:	Zhai, Zheng-Li, Niu, Niu-Wang-Jie, Feng, Bao-Ming, Xu, Shi-Ya, Qu, Chun-Yu, Zong, Chao
Format:	Artikel
Sprache:	eng
Schlagworte:	global attention mechanism invertible neural networks underwater object detection YOLOv8
Online-Zugang:	Volltext
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