Underwater fish detection in sonar image based on an improved Faster RCNN

Author:

Zhao Di1,Yang Bo1,Dou Yinke1,Guo Xiaojia1

Affiliation:

1. Taiyuan University of Technology,College of Electrical and Power Engineering,Taiyuan,China

Funder

Ministry of Natural Resources

Chinese Arctic and Antarctic Administration

Publisher

IEEE

Reference16 articles.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ship target detection based on CBAM-YOLOv8;International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023);2024-02-28

2. Underwater Target Detection Using Deep Learning: Methodologies, Challenges, Applications, and Future Evolution;IEEE Access;2024

3. Deep Learning for Enhanced Marine Vision: Object Detection in Underwater Environments;International Journal of Electrical and Electronics Research;2023-12-26

4. Target Detection Under Complex Sea Surface Weather Conditions Based on Detail Enhancement;2023 3rd International Conference on Intelligent Communications and Computing (ICC);2023-11-24

5. In-Situ Detection Method of Jellyfish Based on Improved Faster R-CNN and FP16;IEEE Access;2023

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