A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification

• Published in: Discrete dynamics in nature and society Vol. 2020; no. 2020; pp. 1 - 11
• Main Authors: Jiang, Nan, Tian, Xinyu, Yang, Mingqiang, Zheng, Qinghe, Wang, Deqiang
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2020; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Artificial neural networks; Back propagation; Big Data; Cable television broadcasting industry; Classification; Computer vision; Data augmentation; Datasets; Deep learning; Image classification; Machine learning; Machine vision; Methods; Neural networks; Noise; Optimization; Propagation; Regularization methods; Training; United States; China

Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper, we propose a full stage data augmentation framework to improve the accuracy of deep convolutional neural networks, which can also play the r...