Results 41 to 50 of about 487,056 (216)

Application of Convolutional Neural Network (CNN) to Recognize Ship Structures

open access: yesSensors, 2022
The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service.
Jae-Jun Lim   +6 more
doaj   +1 more source

Dental Caries Detection Using Faster R-CNN and YOLO V3 [PDF]

open access: yesITM Web of Conferences, 2023
Deep learning techniques are gradually being utilized in many fields. Healthcare is a field in which deep learning can thrive. The study conducted focuses on using deep learning object detection models to detect dental cavities in an individual’s mouth ...
Juyal Aayush   +4 more
doaj   +1 more source

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework

open access: yesPeerJ Computer Science, 2021
The rice leaves related diseases often pose threats to the sustainable production of rice affecting many farmers around the world. Early diagnosis and appropriate remedy of the rice leaf infection is crucial in facilitating healthy growth of the rice ...
Bifta Sama Bari   +7 more
semanticscholar   +1 more source

Optimizing Internet of Things-Based Intelligent Transportation System’s Information Acquisition Using Deep Learning

open access: yesIEEE Access, 2023
This work first discusses the Intelligent Transportation System (ITS)-oriented dynamic and static Information Acquisition Models (IAMs) and explains the information collection mechanism of the Internet of Things (IoT)-based ITS.
Yang Cui, Dongfei Lei
doaj   +1 more source

Faster R-CNN Features for Instance Search [PDF]

open access: yes2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016
Image representations derived from pre-trained Convolutional Neural Networks (CNNs) have become the new state of the art in computer vision tasks such as instance retrieval. This work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.
Salvador, Amaia   +3 more
openaire   +2 more sources

Information-Guided Flame Detection Based on Faster R-CNN

open access: yesIEEE Access, 2020
Due to the diversity of the shape and texture of flame, and interference objects that similar to flame in color, detecting the position of flame from images is a difficult task.
Chenyu Chaoxia, Weiwei Shang, Fei Zhang
doaj   +1 more source

Face mask detection using YOLOv3 and faster R-CNN models: COVID-19 environment

open access: yesMultimedia tools and applications, 2021
There are many solutions to prevent the spread of the COVID-19 virus and one of the most effective solutions is wearing a face mask. Almost everyone is wearing face masks at all times in public places during the coronavirus pandemic.
Sunil K. Singh   +4 more
semanticscholar   +1 more source

Detection of Apple Leaf Diseases using Faster R-CNN

open access: yesDüzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020
Image recognition-based automated disease detection systems play animportant role in the early detection of plant leaf diseases. In this study, anapple leaf disease detection system was proposed using Faster Region-BasedConvolutional Neural Network ...
Yunus Özen   +2 more
doaj   +1 more source

Detection of Insulators on Power Transmission Line Based on an Improved Faster Region-Convolutional Neural Network

open access: yesAlgorithms, 2022
Detecting insulators on a power transmission line is of great importance for the safe operation of power systems. Aiming at the problem of the missed detection and misjudgment of the original feature extraction network VGG16 of a faster region ...
Haijian Hu, Yicen Liu, Haina Rong
doaj   +1 more source

Object Detection Based on Faster R-Cnn

open access: yesInternational Journal of Engineering and Advanced Technology, 2021
In recent years there is rapid improvement in Object detection in areas of video analysis and image processing applications. Determing a desired object became an important aspect, so that there are many numerous of methods are evolved in Object detection.
M. Sushma Sri   +2 more
openaire   +1 more source

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