Underwater target detection algorithm based on improved YOLOv4 with SemiDSConv and FIoU loss function

Underwater target detection algorithm based on improved YOLOv4 with SemiDSConv and FIoU loss function

Underwater target detection is an indispensable part of marine environmental engineering and a fast and accurate method of detecting underwater targets is essential. Although many target detection algorithms have achieved great accuracy in daily scenes, there are issues of low-quality images due to...

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Bibliographic Details
Main Authors: Chengpengfei Zhang, Guoyin Zhang, Heng Li, Hui Liu, Jie Tan, Xiaojun Xue
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Marine Science
Subjects:
deep learning
underwater detection
YOLO
convolutional neural network
loss function
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2023.1153416/full

Internet

https://www.frontiersin.org/articles/10.3389/fmars.2023.1153416/full

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