| Presentation | 2022-11-18 Multi-domain translation from few data by CycleGAN applying data augmentation Syuhei Kanzaki, Hidehiro Nakano, |
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| PDF Download Page |  PDF download Page Link |
| 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. In this research, we apply Data Augmentation to CycleGAN, which uses two GANs. In the situation that number of training data is limited, we propose a method that the number of data is supplemented by Data Augmentation and verify the effectiveness of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / GAN / CycleGAN / Data Augmentation |
| Paper # | CCS2022-59 |
| Date of Issue | 2022-11-10 (CCS) |
| Conference Information | |
| Committee | CCS |
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| Conference Date | 2022/11/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Megumi Akai(Hokkaido Univ.) |
| Vice Chair | Hidehiro Nakano(Tokyo City Univ.) / Masaki Aida(TMU) |
| Secretary | Hidehiro Nakano(Shibaura Inst. of Tech.) / Masaki Aida(Mie Univ.) |
| 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 Complex Communication Sciences |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi-domain translation from few data by CycleGAN applying data augmentation |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | GAN |
| Keyword(3) | CycleGAN |
| Keyword(4) | 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 | 2022-11-18 |
| Paper # | CCS2022-59 |
| Volume (vol) | vol.122 |
| Number (no) | CCS-255 |
| Page | pp.pp.81-84(CCS), |
| #Pages | 4 |
| Date of Issue | 2022-11-10 (CCS) |