YOLO-v1 to YOLO-v8, the rise of YOLO and its complementary nature toward digital manufacturing and industrial defect detection
M Hussain - Machines, 2023 - mdpi.com
Since its inception in 2015, the YOLO (You Only Look Once) variant of object detectors has
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …
rapidly grown, with the latest release of YOLO-v8 in January 2023. YOLO variants are …
Normalization techniques in training dnns: Methodology, analysis and application
Normalization techniques are essential for accelerating the training and improving the
generalization of deep neural networks (DNNs), and have successfully been used in various …
generalization of deep neural networks (DNNs), and have successfully been used in various …
Yolov4: Optimal speed and accuracy of object detection
There are a huge number of features which are said to improve Convolutional Neural
Network (CNN) accuracy. Practical testing of combinations of such features on large …
Network (CNN) accuracy. Practical testing of combinations of such features on large …
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network
Early identification and prevention of various plant diseases is a key feature of precision
agriculture technology. This paper presents a high-performance real-time fine-grain object …
agriculture technology. This paper presents a high-performance real-time fine-grain object …
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection
Objective. With climatic instability, various ecological disturbances, and human actions
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …
threaten the existence of various endangered wildlife species. Therefore, an up-to-date …
Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4
Real-time detection of agricultural growth stages is one of the key steps of estimating yield
and intelligent spraying in commercial orchards. However, due to considerable degree of …
and intelligent spraying in commercial orchards. However, due to considerable degree of …
Deepsocial: Social distancing monitoring and infection risk assessment in covid-19 pandemic
Social distancing is a recommended solution by the World Health Organisation (WHO) to
minimise the spread of COVID-19 in public places. The majority of governments and …
minimise the spread of COVID-19 in public places. The majority of governments and …
In-depth review of yolov1 to yolov10 variants for enhanced photovoltaic defect detection
This review presents an investigation into the incremental advancements in the YOLO (You
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Only Look Once) architecture and its derivatives, with a specific focus on their pivotal …
Real-time railroad track components inspection based on the improved YOLOv4 framework
Abstract According to the Federal Railroad Administration (FRA) database, track component
failure is one of the major factors causing train accidents. To improve railroad safety and …
failure is one of the major factors causing train accidents. To improve railroad safety and …
A comprehensive review of convolutional neural networks for defect detection in industrial applications
Quality inspection and defect detection remain critical challenges across diverse industrial
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …
applications. Driven by advancements in Deep Learning, Convolutional Neural Networks …