Results 41 to 50 of about 14,919,864 (281)
Faster R-CNN for Small Traffic Sign Detection [PDF]
, 2017 Traffic sign detection is essential in autonomous driving. It is challenging especially when large proportion of instance to be detected are in small size. Directly applying state-of-the-art object detection algorithm Faster R-CNN for small traffic sign detection renders unsatisfactory detection rate, while a higher accuracy will be performed if the ...
Zhuo Zhang 0012 +4 more
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Detection of Apple Leaf Diseases using Faster R-CNN
Düzce 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 ...
Melike Sardoğan +2 more
doaj +1 more source
A Study on Pine Larva Detection System Using Swin Transformer and Cascade R-CNN Hybrid Model
Applied Sciences, 2023 Pine trees are more vulnerable to diseases and pests than other trees, so prevention and management are necessary in advance. In this paper, two models of deep learning were mixed to quickly check whether or not to detect pine pests and to perform a ...
Sang-Hyun Lee, Gao Gao
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Chinese Medical Journal, 2019 . Background:. An artificial intelligence system of Faster Region-based Convolutional Neural Network (Faster R-CNN) is newly developed for the diagnosis of metastatic lymph node (LN) in rectal cancer patients.
Lei Ding +14 more
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Cascade Faster R-CNN Detection for Vulnerable Plaques in OCT Images
IEEE Access, 2021 Through the application of optical coherence tomography (OCT), computerized medical image analysis can provide intelligent, auxiliary diagnosis for patients with atherosclerosis.
Chao-Yu Sun +5 more
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Grid R-CNN Plus: Faster and Better
CoRR, 2019 Grid R-CNN is a well-performed objection detection framework. It transforms the traditional box offset regression problem into a grid point estimation problem. With the guidance of the grid points, it can obtain high-quality localization results. However, the speed of Grid R-CNN is not so satisfactory.
Xin Lu +4 more
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Defects detection of floor tiles of ancient buildings based on Faster R-CNN
Dianzi 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
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Small-Scale Pedestrian Detection Based on Improved Faster R-CNN [PDF]
Jisuanji gongcheng, 2020 To improve the accuracy of small-scale pedestrian detection,this paper proposes a target detection method based on improved Faster R-CNN.The network structure uses a new aligned pooling layer based on bilinear interpolation to avoid the positional ...
CHEN Ze, YE Xueyi, QIAN Dingwei, WEI Yangyang
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A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
Advanced Engineering Materials, EarlyView.A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Vitis Vinera L. Leaf Detection using Faster R-CNN [PDF]
BIO Web of ConferencesGrapes are a type of vine that belongs to the Vitaceae family and has many health benefits. There are dozens of grape varieties that are widespread in Indonesia. Grape varieties can be differentiated based on their various leaf shapes.
Sarosa Moechammad +3 more
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