Deep neural network-based real time fish detection method in the scene of marine fishing supervision

J Li, K Zhu, F Wang, F Jiang - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Overfishing of marine fishery is a serious threat to fishery ecological security. Fishing
supervision is one of the main ways to maintain marine fishery ecology. In order to improve …

A real-time fish target detection algorithm based on improved yolov5

W Li, Z Zhang, B Jin, W Yu - Journal of Marine Science and Engineering, 2023 - mdpi.com
Marine fish target detection technology is of great significance for underwater vehicles to
realize fish automatic recognition. However, the complex underwater environment and …

Research on underwater small target detection algorithm based on improved yolov3

J Li, Y Zhu, M Chen, Y Wang… - 2022 16th IEEE …, 2022 - ieeexplore.ieee.org
Underwater target detection has important research significance and value in the fields of
fish exploration technology, fishery resources research, fishery prediction, aquaculture and …

Research on target detection of Engraulis japonicus purse seine based on improved model of YOLOv5

J Zhang, S Wang, S Zhang, F Tang, W Fan… - Frontiers in Marine …, 2022 - frontiersin.org
The refined monitoring and identification of fishing operations by fishing vessels is of great
significance and value to fishing vessels. In order to solve the problem of inaccurate …

A Deep Learning-Based Lightweight Model for the Detection of Marine Fishes

F Wu, Y Zhang, L Wang, Q Hu, S Fan… - Journal of Marine Science …, 2023 - mdpi.com
The species and population size of marine fish are important for maintaining the ecological
environment and reflecting climate change. Traditional fish detection methods mainly rely on …

Fish detection method based on improved YOLOv5

L Li, G Shi, T Jiang - Aquaculture International, 2023 - Springer
In the field of fisheries, detecting the distribution of fish underwater is an important task for
achieving accurate bait feeding. However, the current deep neural networks for fish …

Fish detection based on Gather-and-Distribute mechanism Multi-scale feature fusion network and Structural Re-parameterization method

D Zhang, S Gao, B Deng, J Xu, Y Xiang… - Journal of …, 2024 - iwaponline.com
To solve the problems of localization and identification of fish in the complex fishway
environment, improving the accuracy of fish detection, this paper proposes an object …

Ship target detection algorithm based on improved YOLOv3 for maritime image

D Chen, S Sun, Z Lei, H Shao… - Journal of Advanced …, 2021 - Wiley Online Library
Accurate identification of ships is the key technology of intelligent transportation in water. At
the same time, it also provides a judgment basis for water traffic safety control. This paper …

A lightweight ship target detection model based on improved YOLOv5s algorithm

Y Zheng, Y Zhang, L Qian, X Zhang, S Diao, X Liu… - Plos one, 2023 - journals.plos.org
Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and
ship supervision. Aiming at the problems of large parameters, large computation quantity …

A lightweight underwater target detection network for seafood

Y Wei, Y Fang, F Cheng, M Zhang… - 2023 42nd Chinese …, 2023 - ieeexplore.ieee.org
With the development of underwater vehicle technology, the application of underwater target
detection ranges from ocean search, rescue and detection to fishing for marine products. At …