Strip surface defect detection algorithm based on YOLOV5

H Wang, X Yang, B Zhou, Z Shi, D Zhan, R Huang… - Materials, 2023 - mdpi.com
In order to improve the detection accuracy of the surface defect detection of industrial hot
rolled strip steel, the advanced technology of deep learning is applied to the surface defect …

A real-time and efficient surface defect detection method based on YOLOv4

J Liu, G Cui, C Xiao - Journal of Real-Time Image Processing, 2023 - Springer
In this paper, we propose a lightweight and fast detection framework called Mixed YOLOv4-
LITE series based on You Only Look Once (YOLOv4) for industrial defect detection. To …

Evolutionary algorithm for optimized CNN architecture search applied to real-time boat detection in aerial images

I Zerrouk, Y Moumen, W Khiati, A El Habchi… - Journal of Real-Time …, 2023 - Springer
When processing the detection of boats in aerial images by neural networks, we have
always been concerned about the execution time of these networks in the equipment on …

Object Detection Using ESRGAN with a Sequential Transfer Learning on Remote Sensing Embedded Systems

YR Musunuri, C Kim, OS Kwon, SY Kung - IEEE Access, 2024 - ieeexplore.ieee.org
The field of remote sensing has experienced rapid advancement owing to the widespread
utilization of image sensors, drones, and satellites for data collection. However, object …

Real-time structural crack detection in buildings using YOLOv3 and autonomous unmanned aerial systems

K Binagekar, A Pai - … Journal of System Assurance Engineering and …, 2024 - Springer
An innovative approach for efficient and controlled drone-based building inspection has
been introduced in this work. By integrating hardware and simulation, the system ensures …

Privacy‐protected object detection through trustworthy image fusion

C Zhang, J Zhang, L Yun, J Zhang, J Su - International Journal of … - Wiley Online Library
The neural network‐based technologies have emerged as a potent method for image fusion,
object detection, and other computer vision tasks as the rapid development of deep learning …

A HYBRID MODEL OF RNN-LSTM GOLDEN EAGLE OPTIMIZATION ALGORITHM BASED ON PRUNING AND INT8 QUANTIZATION FOR MULTI-CORE …

E JAYANTHI, R VALLIKANNU - Journal of the Balkan …, 2023 - search.ebscohost.com
Minimum of computational cost, bandwidth utility, energy conservation, and memory
withstand ability are all aspects of service applications that need to be optimized to be met …