| Presentation | 2020-05-14 Separater for Generative Adversarial Networks Takeshi Oba, Jun Rokui, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We focus on the movement between the data of the generator and the Discriminator in the Genera- tive Adversarial Networks, and propose a framework that provides a data Separater. It has been experimentally confirmed that good data automatic generation can be achieved by incorporating a data Separater into the GAN mechanism. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Generative Adversarial Networks / Deep learning / Generative model |
| Paper # | PRMU2020-1 |
| Date of Issue | 2020-05-07 (PRMU) |
| Conference Information | |
| Committee | PRMU / IPSJ-CVIM |
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| Conference Date | 2020/5/14(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Business based on computer vision and pattern recognition |
| Chair | Yoichi Sato(Univ. of Tokyo) |
| Vice Chair | Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) |
| Secretary | Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) |
| Assistant | Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Separater for Generative Adversarial Networks |
| Sub Title (in English) | |
| Keyword(1) | Generative Adversarial Networks |
| Keyword(2) | Deep learning |
| Keyword(3) | Generative model |
| 1st Author's Name | Takeshi Oba |
| 1st Author's Affiliation | University of Shizuoka(Univ of Shizuoka) |
| 2nd Author's Name | Jun Rokui |
| 2nd Author's Affiliation | University of Shizuoka(Univ of Shizuoka) |
| Date | 2020-05-14 |
| Paper # | PRMU2020-1 |
| Volume (vol) | vol.120 |
| Number (no) | PRMU-14 |
| Page | pp.pp.1-6(PRMU), |
| #Pages | 6 |
| Date of Issue | 2020-05-07 (PRMU) |