Results 71 to 80 of about 487,056 (216)

Pavement Surface Defect Detection Using Mask Region-Based Convolutional Neural Networks and Transfer Learning

open access: yesApplied Sciences, 2022
Pavement defect detection is critical for pavement maintenance and management. Meanwhile, the accurate and timely detection of pavement defects in complex backgrounds is a huge challenge for maintenance work.
Yang He   +6 more
doaj   +1 more source

Deformable Part Models are Convolutional Neural Networks

open access: yes, 2014
Deformable part models (DPMs) and convolutional neural networks (CNNs) are two widely used tools for visual recognition. They are typically viewed as distinct approaches: DPMs are graphical models (Markov random fields), while CNNs are "black-box" non ...
Darrell, Trevor   +3 more
core   +1 more source

Weapon Detection Using Faster R-CNN

open access: yesInternational Journal for Research in Applied Science and Engineering Technology
Abstract: As criminal activities continue to rise, ensuring security has become a top priority across various sectors. Computer vision technology is being extensively employed to address this problem by detecting and monitoring abnormalities. Video surveillance systems capable of identifying and analyzing scenes and detecting anomalous events have ...
K. Deepa Rao   +3 more
openaire   +1 more source

Kiwifruit detection in field images using Faster R-CNN with VGG16

open access: yesIFAC-PapersOnLine, 2019
Kiwifruit is widely planted in Shaanxi, China, accounting for approximately 70% of the local production, and 33% of the global. Harvesting kiwifruits in China relies mainly on manual picking, and it is labor-intensive.
Zhenzhen Song   +5 more
semanticscholar   +1 more source

Defects detection of floor tiles of ancient buildings based on Faster R-CNN

open access: yesDianzi Jishu Yingyong, 2021
Defect detection is of great significance for the protection and repair of ancient buildings. The traditional floor tile defect detection has been subject to visual inspection, which has limitations due to human influence and time-consuming. Based on the
Chen Li, Liu Yanyan
doaj   +1 more source

Detection of Esophageal Cancer Lesions Based on CBAM Faster R-CNN

open access: yesJournal of Theory and Practice of Engineering Science, 2023
Esophageal cancer is a common malignant tumor in daily life, which seriously affects human health. Esophageal cancer in China. The incidence rate is among the highest in the world, and there are a large number of new cases of esophageal cancer every year.
Bo Liu   +4 more
semanticscholar   +1 more source

Smart traffic management of vehicles using faster R-CNN based deep learning method. [PDF]

open access: yesSci Rep, 2023
With constant growth of civilization and modernization of cities all across the world since past few centuries smart traffic management of vehicles is one of the most sorted after problem by research community. Smart traffic management basically involves
Chaudhuri A.
europepmc   +3 more sources

RON: Reverse Connection with Objectness Prior Networks for Object Detection

open access: yes, 2017
We present RON, an efficient and effective framework for generic object detection. Our motivation is to smartly associate the best of the region-based (e.g., Faster R-CNN) and region-free (e.g., SSD) methodologies. Under fully convolutional architecture,
Chen, Yurong   +5 more
core   +1 more source

Artificial Intelligent Recognition for Multiple Supernumerary Teeth in Periapical Radiographs Based on Faster R-CNN and YOLOv8.

open access: yesJournal of Stomatology Oral and Maxillofacial Surgery
OBJECTIVES The aim of this study was to compare the effectiveness of automated supernumerary tooth (ST) detection systems on periapical radiographs using Faster R-CNN and YOLOv8 with detection by 8 dental residents.
Jiajia Zheng   +5 more
semanticscholar   +1 more source

Weed Identification in Soybean Seedling Stage Based on Optimized Faster R-CNN Algorithm

open access: yesAgriculture, 2023
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low.
Xinle Zhang   +7 more
semanticscholar   +1 more source

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