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A survey on face data augmentation for the training of deep neural networks

机译：深度神经网络训练脸部数据增强调查

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Xiang Wang; Kai Wang; Shiguo Lian;
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1. A survey on face data augmentation for the training of deep neural networks [J] . Wang Xiang, Wang Kai, Lian Shiguo Neural computing & applications . 2020,第19期

机译：深度神经网络训练面部数据增强调查
2. Deep Learning for Consumer Devices and Services 4—A Review of Learnable Data Augmentation Strategies for Improved Training of Deep Neural Networks [J] . Lemley Joseph, Corcoran Peter Consumer Electronics Magazine, IEEE . 2020,第3期

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3. Application of Deep Convolutional Neural Networks in Attention-Deficit/Hyperactivity Disorder Classification: Data Augmentation and Convolutional Neural Network Transfer Learning [J] . Zhu Li, Chang Weike Journal of Medical Imaging and Health Informatics . 2019,第8期

机译：深度卷积神经网络在注意力缺陷/多动障碍分类中的应用：数据增强与卷积神经网络转移学习
4. Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding Space [C] . Mohammad Saeed Abrishami, Amir Erfan Eshratifar, David Eigen, International Symposium on Quality Electronic Design . 2020

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5. Evaluation of Synthetic Training Data and Training-Data-Augmentation Techniques for Object Detection in Ground-Penetrating Radar Data using Deep-Learning Models [D] . Ruggiero, Jean. 2021

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6. Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation Photometric Conversion or Transfer Learning [O] . Vikash Gupta, Mutlu Demirer, Matthew Bigelow, 2020

机译：基于小型医学图像数据集的深神经网络算法的性能：3D-2D改革与新型数据增强光度转换或转移学习结合的增量影响
7. Image Augmentation using Radial Transform for Training Deep Neural Networks [O] . Salehinejad, Hojjat, Valaee, Shahrokh, Dowdell, Timothy, 2017

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A survey on face data augmentation for the training of deep neural networks

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