Presentation 2022-08-04
Investigation on Applying Data Augmentation to CycleGAN
Syuhei Kanzaki, Hidehiro Nakano,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In machine learning and deep learning, a huge amount of data is required for training. The image generation model GAN exists as a method to supplement the huge amount of training data. Data Augmentation is one of the methods to increase the number of data. It has been shown that the application of Data Augmentation to GANs can improve the performance of GANs. This research proposes a method to apply Data Augmentation to CycleGAN, which uses two GANs, and verify the effectiveness of the method on the model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deep Learning / GAN / Data Augmentation
Paper # CCS2022-26
Date of Issue 2022-07-28 (CCS)

Conference Information
Committee IN / CCS
Conference Date 2022/8/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Hokkaido University(Centennial Hall)
Topics (in Japanese) (See Japanese page)
Topics (in English) Network Science, Future Network, Cloud/SDN/Virtualization, Contents Delivery/Contents Exchange, and others
Chair Kunio Hato(Internet Multifeed) / Megumi Akai(Hokkaido Univ.)
Vice Chair Tsutomu Murase(Nagoya Univ.) / Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU)
Secretary Tsutomu Murase(KDDI Research) / Hidehiro Nakano(Nagaoka Univ. of Tech.) / Masaki Aida(NTT)
Assistant / Hiroyuki Yasuda(Univ. of Tokyo) / Hiroyasu Ando(Tsukuba Univ.) / Tomoyuki Sasaki(Shonan Inst. of Tech.) / Miki Kobayashi(Rissho Univ.)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation on Applying Data Augmentation to CycleGAN
Sub Title (in English)
Keyword(1) Deep Learning
Keyword(2) GAN
Keyword(3) Data Augmentation
1st Author's Name Syuhei Kanzaki
1st Author's Affiliation Tokyo City University(Tokyo City Univ.)
2nd Author's Name Hidehiro Nakano
2nd Author's Affiliation Tokyo City University(Tokyo City Univ.)
Date 2022-08-04
Paper # CCS2022-26
Volume (vol) vol.122
Number (no) CCS-145
Page pp.pp.1-5(CCS),
#Pages 5
Date of Issue 2022-07-28 (CCS)