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DeepFakes Detection in Videos Using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks

机译：使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频

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作者
Burroughs, Sonya.;
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作者单位

North Carolina Agricultural and Technical State University.;

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授予单位 North Carolina Agricultural and Technical State University.;
学科
学位 M.S.
年度 2021
页码 55 p.
总页数 55
原文格式 PDF
正文语种 eng
中图分类
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2. Real-time tracking-by-detection Framework for Traffic Applications via Deep Learning based Convolutional Neural Network [J] . ZHU LIANG YU Journal of Electrical Systems . 2020,第3期

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3. Obstructive sleep apnoea detection using convolutional neural network based deep learning framework [J] . Debangshu Dey, Sayanti Chaudhuri, Sugata Munshi Biomedical Engineering Letters . 2018,第1期

机译：基于卷积神经网络的深度学习框架阻塞性睡眠呼吸暂停检测
4. DeepFakes Detection in Videos using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks [C] . Sonya J. Burroughs, Balakrishna Gokaraju, Kaushik Roy, IEEE Applied Imagery Pattern Recognition Workshop . 2020

机译：使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频
5. Internal and External Feature Engineering Applied to Deep Learning with Convolutional Neural Networks for Monocular Relative Pose Estimation in Visual Odometry and Self-Localization [D] . Parkins, Franz Payton. 2020

机译：内部和外部特征工程应用于卷积神经网络的深度学习，用于视觉测量和自定位中的单眼相对姿态估计
6. Obstructive sleep apnoea detection using convolutional neural network based deep learning framework [O] . Debangshu Dey, Sayanti Chaudhuri, Sugata Munshi 2018

机译：基于卷积神经网络的深度学习框架阻塞性睡眠呼吸暂停检测
7. Deepfake Video Detection Using Convolutional Neural Network [O] . Aarti Karandikar 2020

机译：使用卷积神经网络进行深度视频检测

DeepFakes Detection in Videos Using Feature Engineering Techniques in Deep Learning Convolution Neural Network Frameworks

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