Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image Enhancement

Lightweight Underwater Object Detection Algorithm for Embedded Deployment Using Higher-Order Information and Image Enhancement

Underwater object detection is crucial in marine exploration, presenting a challenging problem in computer vision due to factors like light attenuation, scattering, and background interference. Existing underwater object detection models face challenges such as low robustness, extensive computation...

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Bibliographic Details
Main Authors: Changhong Liu, Jiawen Wen, Jinshan Huang, Weiren Lin, Bochun Wu, Ning Xie, Tao Zou
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Journal of Marine Science and Engineering
Subjects:
lightweight network
YOLO
underwater object detection
attention mechanism
embedded deployment
image enhancement
Online Access:https://www.mdpi.com/2077-1312/12/3/506

Internet

https://www.mdpi.com/2077-1312/12/3/506

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