Results 191 to 200 of about 20,298 (224)

Deep FCN for Arabic Scene Text Detection

2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR), 2018
Visual text is considered as one of the major indispensable aspects of communication field used by individuals and broadly applied in our daily Transactions. Thus, detecting and exploiting this textual information is of a big prominence. State of the art methods for detecting text on printed documents has achieved impressing results on both accuracy ...
Ines Beltaief, Mohamed Ben Halima
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R-FCN Based Laryngeal Lesion Detection

2019 12th International Symposium on Computational Intelligence and Design (ISCID), 2019
In recent years, with the emergence of high-computing GPUs and the introduction of new convolutional neural network models, deep learning technology has ushered in a new round of development. At the same time, in the era of rapid development of the Internet, a large amount of high-quality medical image data is generated every day, which provides a new ...
Bo Luan, Yunxu Sun, Cheng Tong, Yuanxian Liu, Hongshun Liu   +4 more
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Existence and Uniqueness of Solutions in FCN

2014
In this chapter, we present a study for the existence of equilibrium points of FCNs equipped with continuous differentiable sigmoid functions that have contractive or at least nonexpansive properties. The study is done by using an appropriately defined contraction mapping theorem and the nonexpansive mapping theorem.
Yiannis Boutalis, Dimitrios Theodoridis, Theodore Kottas, Manolis A. Christodoulou   +3 more
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Arabidopsis-FCN

Functional carbon-based nanomaterials (FCNs) are novel carbon-based nanomaterials with functional groups attached to the sp2 hybridized carbon backbone and carbon-based small-molecule compounds. Addition of FCNs to growth medium has demonstrated growth promoting effects on the model plant species Arabidopsis thaliana including accelerated vegetative ...
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FCN- and FNC- radical anions

Physical Chemistry Chemical Physics, 2001
The radical anions FCN− and FNC− are studied at high ab initio levels of theory. Both anionic isomers possess a weak so-called three-electron bond, and highly correlated methods are necessary to predict their geometric parameters. At their respective equilibrium structures both anions represent electronically stable species but the associated ...
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A comparative study on fully convolutional networks—FCN-8, FCN-16, and FCN-32

2022
Prisilla Jayanthi, Iyyanki V. Murali Krishna   +1 more
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Complex Water Surface Segmentation with RGBP-FCN

2018
To help unmanned surface vessel analyze the water environment better, this paper proposes RGBP full convolutional network (RGBP-FCN), which is a method based on polarization characteristics combined with a full convolutional network (FCN). It uses image color information (RGB) and polarization degree to segment the complex water surface.
Shihao Liu, Quan Chen, Zihan Yue, Jie Ma
openaire   +2 more sources

License Plate Recognition Using Deep FCN

2017
In our work, we concentrate on the problem of car license plate recognition after the plate has been extracted from an image. Traditional methods approach this problem as three separate steps: preprocessing, segmentation, and recognition. In this paper, we propose a unified approach that integrates these steps using a fully convolutional network.
Yue Wu, Jianmin Li 0001
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Genotyping of FCN and MBL2 Polymorphisms Using Pyrosequencing

2013
Pyrosequencing represents one of the most thorough methods used to analyze polymorphisms. One advantage of using pyrosequencing for genotyping is the ability to identify not only single-nucleotide polymorphisms (SNPs) but also tri-allelic variations, insertions and deletions (InDels). In contrast to most other genotyping assays the sequence surrounding
Lea, Munthe-Fog, Hans Ole, Madsen, Peter, Garred   +2 more
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Coord-FCN for same-class objects segmentation

2021 International Conference on Information and Communication Technology Convergence (ICTC), 2021
Guohua Zhu, Suk Chan Kim
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