[HTML][HTML] LyFormer based object detection in reel package X-ray images of semiconductor component

J Park, J Lee, J Jeong - Journal of King Saud University-Computer and …, 2023 - Elsevier
With the development of artificial intelligence (AI) technology, companies are rationalizing
the facilities required at the production site to suit smart factory plants, and applying AI to the …

LightRay: Lightweight network for prohibited items detection in X-ray images during security inspection

Y Ren, H Zhang, H Sun, G Ma, J Ren, J Yang - Computers and Electrical …, 2022 - Elsevier
Object detection algorithms based on deep learning have been widely used in the intelligent
detection of prohibited items in X-ray images during the security inspection process …

Dw-yolo: an efficient object detector for drones and self-driving vehicles

Y Chen, W Zheng, Y Zhao, TH Song, H Shin - Arabian Journal for Science …, 2023 - Springer
Object detection is frequently a challenging task due to poor visual cues of objects in an
image. In this paper, a new efficient deep learning-based detection method, named as …

Investigation of you only look once networks for vision-based small object detection

Y Li - International Journal of Advanced Computer Science …, 2023 - search.proquest.com
Small object detection is a challenging issue in computer vision-based algorithms. Although
various methods have been investigated for common objects including person, car and …

An advanced YOLOv3 method for small object detection

B Liu, F He, S Du, J Li, W Liu - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Small object detection has important application value in the fields of autonomous driving
and drone scene analysis. As one of the most advanced object detection algorithms …

Small object detection in aerial view based on improved YoloV3 neural network

F Lin, X Zheng, Q Wu - 2020 IEEE International Conference on …, 2020 - ieeexplore.ieee.org
In application scenarios such as UAV inspection, deep learning-based object detection
methods are increasingly used to improve the automation of line inspection. In the aerial …

[HTML][HTML] Application of Dual-Energy X-Ray Image Detection of Dangerous Goods Based on YOLOv7

B Liu, F Wang, M Gao, L Zhao - Journal of Computer and Communications, 2023 - scirp.org
X-ray security equipment is currently a more commonly used dangerous goods detection
tool, due to the increasing security work tasks, the use of target detection technology to …

A dangerous goods detection approach based on yolov3

C Xu, N Han, H Li - Proceedings of the 2018 2nd International …, 2018 - dl.acm.org
In modern life, safety inspection plays an indispensable role at almost every corner of the
society. Owing to the rapid growth of urban population and travel demand, people's …

An Algorithm for detection of prohibited items in X-ray images based on improved YOLOv4

S MU, J LIN, H WANG, X WEI - Acta Armamentarii, 2021 - co-journal.com
An improved YOLOv4 algorithm for detecting the prohibited items in X-ray images is
proposed to increase the speed of security inspection and realize the automatic detection of …

Detection of sharp objects using deep neural network based object detection algorithm

R Kayalvizhi, S Malarvizhi… - 2020 4th …, 2020 - ieeexplore.ieee.org
Deep learning algorithms have the ability to learn complex functions and provide state-of-the-
art results for com-puter vision problems. In recent times, these algorithms far exceeded the …