Underwater object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy

X Hua, X Cui, X Xu, S Qiu, Y Liang, X Bao, Z Li - Pattern Recognition, 2023 - Elsevier
To solve the problems that the conventional object detector is hard to extract features and
miss detection of small objects when detecting underwater objects due to the noise of …

UGC-YOLO: underwater environment object detection based on YOLO with a global context block

Y Yang, L Chen, J Zhang, L Long, Z Wang - Journal of Ocean University of …, 2023 - Springer
With the continuous development and utilization of marine resources, the underwater target
detection has gradually become a popular research topic in the field of underwater robot …

An improved YOLOv5s-based scheme for target detection in a complex underwater environment

C Hou, Z Guan, Z Guo, S Zhou, M Lin - Journal of Marine Science and …, 2023 - mdpi.com
At present, sea cucumbers, sea urchins, and other seafood products have become
increasingly significant in the seafood aquaculture industry. In traditional fishing operations …

A novel underwater weak signal detection method based on parameter optimized VMD and 3D chaotic system

Y Shen, Y Li, W Li, H Gao, C Wu - Digital Signal Processing, 2024 - Elsevier
Based on chaos theory, combined with improved variational mode decomposition, a novel
method for underwater weak signal detection and frequency extraction is proposed. The aim …

Intelligent Robot Target Detection Algorithm Integrating TLD-GOTURN

L Zhou, Y Liu - IEEE Access, 2024 - ieeexplore.ieee.org
The development of intelligent robot has always been an important research direction in the
field of artificial intelligence, and the object detection of robot is the basis of intelligent …

Improved YOLOv5s low-light underwater biological target detection algorithm

Y CHEN, S DONG, S SUN, K YAN - 北京航空航天大学学报, 2022 - bhxb.buaa.edu.cn
A real-time detection method of low-light underwater biological target based on improved
YOLOv5s, known as YOLOv5s-underwater, was proposed to address the issue of low …

改进YOLOv5s 的弱光水下生物目标检测算法

陈宇梁, 董绍江, 孙世政, 闫凯波 - 北京航空航天大学学报, 2022 - bhxb.buaa.edu.cn
针对水下光学图像目标检测过程中由于水中光线衰弱严重, 图像环境复杂和拍摄设备移动等造成
的生物识别精度低的问题, 提出了基于改进YOLOv5s 的弱光水下生物目标实时检测算法 …

[HTML][HTML] 基于ResNet50_SIMAM 的水下目标检测模型研究

柏填晟, 张亚婷, 金珊, 李晓璇, 刘朝霞 - Computer Science and …, 2024 - hanspub.org
水下目标检测是海洋探索和监测领域的一个关键技术挑战, 具有广泛的应用.
由于水下环境复杂以及视觉清晰度有限, 现有检测方法效果不佳. 针对这一问题, 我们对现有的 …

Application study of ant colony algorithm for network data transmission path scheduling optimization

P Xiao - Journal of Intelligent Systems, 2023 - degruyter.com
With the rapid development of the information age, the traditional data center network
management can no longer meet the rapid expansion of network data traffic needs …

IG-YOLOv5-based underwater biological recognition and detection for marine protection

J Huo, Q Jiang - Open Geosciences, 2023 - degruyter.com
Underwater biological detection is of great significance to marine protection. However, the
traditional target detection techniques have some challenges, such as insufficient feature …