@inproceedings{38eddbd8ad104eadb7ea66e665b9d0ec,
title = "Generating images for imbalanced dataset problem",
abstract = "Imbalanced dataset problem may occur when the number of instances of a certain class is much lower than others, resulting in a drop in the classification result of minority class. We propose the method of generating images from 3D modeling by some softwares to get enough images of minority class and supplement the dataset to re-balance it. Several deep networks are trained on these datasets. The experiment results are evaluated by F-measure and show that when the images are generated by enough models, the classification performance can be obviously improved.",
keywords = "3D modeling, deep learning, image recognition",
author = "Yingying Qin and Wenjie Chen and Jie Chen",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8029100",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "10930--10935",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "United States",
}