Improved yolov5: Efficient object detection using drone images under various conditions

HK Jung, GS Choi - Applied Sciences, 2022 - mdpi.com
With the recent development of drone technology, object detection technology is emerging,
and these technologies can also be applied to illegal immigrants, industrial and natural …

Optimizing the hyperparameter tuning of YOLOv5 for underwater detection

IS Isa, MSA Rosli, UK Yusof, MIF Maruzuki… - IEEE …, 2022 - ieeexplore.ieee.org
This study optimized the latest YOLOv5 framework, including its subset models, with training
on different datasets that differed in image contrast and cloudiness to assess model …

[HTML][HTML] Improved ship detection algorithm from satellite images using YOLOv7 and graph neural network

K Patel, C Bhatt, PL Mazzeo - Algorithms, 2022 - mdpi.com
One of the most critical issues that the marine surveillance system has to address is the
accuracy of its ship detection. Since it is responsible for identifying potential pirate threats, it …

[HTML][HTML] Toward surface defect detection in electronics manufacturing by an accurate and lightweight YOLO-style object detector

J Wang, H Dai, T Chen, H Liu, X Zhang, Q Zhong… - Scientific Reports, 2023 - nature.com
In electronics manufacturing, surface defect detection is very important for product quality
control, and defective products can cause severe customer complaints. At the same time, in …

A lightweight military target detection algorithm based on improved YOLOv5

X Du, L Song, Y Lv, S Qiu - Electronics, 2022 - mdpi.com
Military target detection technology is the basis and key for reconnaissance and command
decision-making, as well as the premise of target tracking. Current military target detection …

Noncontact vision-based impact force reconstruction and spatial-temporal deflection tracking of a flexible barrier system under rockfall impact

Y Tian, L Luo, Z Yu, H Xu, F Ni - Computers and Geotechnics, 2023 - Elsevier
Flexible barrier systems are significant for natural disasters (eg, rockfalls, mudslides)
prevention in mountainous areas. However, monitoring the dynamic behavior of flexible …

[HTML][HTML] YOLOv5-MGC: GUI Element Identification for Mobile Applications Based on Improved YOLOv5

J Cheng, D Tan, T Zhang, A Wei, J Chen - Mobile Information Systems, 2022 - hindawi.com
The identification of interface elements is the first step in mobile application automated
testing and the key to smooth testing. However, existing object detection algorithms have a …

[HTML][HTML] A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection

K Xie, J Yang, K Qiu - Scientific Data, 2022 - nature.com
Multibeam forward-looking sonar (MFLS) plays an important role in underwater detection.
There are several challenges to the research on underwater object detection with MFLS …

基于深度学习的水下图像目标检测综述

罗逸豪, 刘奇佩, 张吟, 周河宇, 张钧陶, 曹翔 - 电子与信息学报, 2023 - jeit.ac.cn
水下图像目标检测是水下智能化探测的核心技术之一, 广泛应用于工业及军事领域.
深度学习相关技术的突破为水下图像目标检测的发展带来了新的机遇, 但是目前该领域的综述 …

[HTML][HTML] Rapid Three-Dimensional Reconstruction of Underwater Defective Pile Based on Two-Dimensional Images Obtained Using Mechanically Scanned Imaging …

S Shen, Y Zeng, C Lai, S Jiang, S Wu… - Structural Control and …, 2023 - hindawi.com
Three-dimensional (3-D) reconstruction based on sonar imaging is an intuitive and
comprehensible form for describing an underwater defective pile. Most existing 3-D …