☆ 4.7 Article

Underwater Target Detection Algorithm Based on Improved YOLOv5

JOURNAL OF MARINE SCIENCE AND ENGINEERING (2022)

Underwater targets classification using local wavelet acoustic pattern and Multi-Layer Perceptron neural network optimized by modified Whale Optimization Algorithm

Weibiao Qiao et al.

Summary: This study proposes the use of Local Wavelet Acoustic Pattern and Multi-Layer Perceptron neural networks to design an underwater target classifier and improves the Whale Optimization Algorithm for parameter optimization. The results show that the modified optimizer and designed classifier outperform other benchmark classifiers in terms of performance.

OCEAN ENGINEERING (2021)

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Article Automation & Control Systems

Underwater target detection based on Faster R-CNN and adversarial occlusion network ?

Lingcai Zeng et al.

Summary: This paper proposes a method to add the adversarial occlusion network to the Faster R-CNN detection algorithm, which improves the robustness of the detection network in identifying underwater targets and increases the accuracy on the underwater dataset.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2021)

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Article Computer Science, Information Systems

Underwater Target Recognition Based on Improved YOLOv4 Neural Network

Lingyu Chen et al.

Summary: The YOLOv4 neural network is used for underwater target recognition, with modifications made to improve accuracy and speed. The proposed structure and data preprocessing method have been shown to effectively enhance the accuracy and speed of underwater target recognition.

ELECTRONICS (2021)

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Article Computer Science, Artificial Intelligence