@inproceedings{209ed601cf78455a84066973441b32ad,
title = "CIGAN: A novel GANs model based on category information",
abstract = "Unsupervised learning with Generative Adversarial Networks (GANs) has made great achievements these years. Generally, traditional GANs model improve the generation effect by proposing new loss functions or adjusting network structures. However, the category information of training data is rarely used in the training of GANs network and the discriminative power of traditional GANs' discriminator is limited. To overcome such a problem, we propose an improved GANs model based on Category Information (CIGAN), which applies the hash center loss to improve the training speed of the CIGAN model. We also propose two methods for CIGAN model to improve the discrimination ability of discriminator network. The CIGAN model has advantages over traditional GANs model as it can generate higher quality images, and can remain stable during the learning process when the batch normalization layer is removed. The Inception score on the CIFAR-10 dataset also demonstrates that our model is better than traditional GANs model with higher generation effect.",
keywords = "Category information, Discrimination ability, Hash center loss, Softmax function",
author = "Jianwei Niu and Zheng Li and Shasha Mo and Boyu Fan",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE SmartWorld, 15th IEEE International Conference on Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018 ; Conference date: 07-10-2018 Through 11-10-2018",
year = "2018",
month = dec,
day = "4",
doi = "10.1109/SmartWorld.2018.00113",
language = "英语",
series = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "522--529",
editor = "Frederic Loulergue and Guojun Wang and Bhuiyan, \{Md Zakirul Alam\} and Xiaoxing Ma and Peng Li and Manuel Roveri and Qi Han and Lei Chen",
booktitle = "Proceedings - 2018 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovations, SmartWorld/UIC/ATC/ScalCom/CBDCom/IoP/SCI 2018",
address = "美国",
}