FishFocusNet: An improved method based on YOLOv8 for underwater tropical fish identification
Zhaoxuan Lu,
Xiaolong Zhu,
Haitao Guo
et al.
Abstract:Accurately identifying tropical fish serves as a crucial indicator, offering an insight into the state of marine biodiversity and the condition of coral reef ecosystems. However, the current detection networks are prone to omission and misidentification due to occlusion between fish and the complex underwater environment. This paper proposes a modified approach named FishFocusNet, in which alterable kernel convolution modules, asymptotic feature pyramid network (AFPN), and Shape‐IoU are integrated into YOLOv8.… Show more
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