An Improved YOLOv9s Algorithm for Underwater Object Detection

An Improved YOLOv9s Algorithm for Underwater Object Detection

Monitoring marine life through underwater object detection technology serves as a primary means of understanding biodiversity and ecosystem health. However, the complex marine environment, poor resolution, color distortion in underwater optical imaging, and limited computational resources all affect...

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Bibliographic Details
Main Authors: Shize Zhou, Long Wang, Zhuoqun Chen, Hao Zheng, Zhihui Lin, Li He
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Marine Science and Engineering
Subjects:
YOLOv9s
underwater target detection
attention mechanism
upsampling operator
loss function
Online Access:https://www.mdpi.com/2077-1312/13/2/230
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