| Presentation | 2018-03-18 Multi-Element Deep Learning Using False Detection Images for Training Set Kazuo Ohzeki, Yoshikazu Kido, Yutaka Hirakawa, Stefan Schneider, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In deep learning, in order to improve learning performance, preprocessing and ingenuity to combine a plurality of discriminators are performed. It can be inferred that it has elements exceeding the set of learning. Therefore, a configuration to combine multiple recognition elements with low loss will be studied. The advance category classification method is expected to narrow the scope of learning in the next stage. Combining elements specialized for FalsePositive/FalseNegative removal after the positive/negative determination is considered to be effective if the accuracy of the subsequent stage is high. We conducted a license plate recognition experiment by combining these and achieved the best performance for Caltech data. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Two-stage / Error Correction / Re-Learning / License Plate |
| Paper # | BioX2017-40,PRMU2017-176 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |
| Conference Information | |
| Committee | PRMU / BioX |
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| Conference Date | 2018/3/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
| Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) |
| Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) |
| Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) |
| Paper Information | |
| Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi-Element Deep Learning Using False Detection Images for Training Set |
| Sub Title (in English) | Effective For License Plate Detection |
| Keyword(1) | Two-stage |
| Keyword(2) | Error Correction |
| Keyword(3) | Re-Learning |
| Keyword(4) | License Plate |
| 1st Author's Name | Kazuo Ohzeki |
| 1st Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. of Tech.) |
| 2nd Author's Name | Yoshikazu Kido |
| 2nd Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. of Tech.) |
| 3rd Author's Name | Yutaka Hirakawa |
| 3rd Author's Affiliation | Shibaura Institute of Technology(Shibaura Inst. of Tech.) |
| 4th Author's Name | Stefan Schneider |
| 4th Author's Affiliation | University of Applied Sciences, Kempten(UAS Kempten) |
| Date | 2018-03-18 |
| Paper # | BioX2017-40,PRMU2017-176 |
| Volume (vol) | vol.117 |
| Number (no) | BioX-513,PRMU-514 |
| Page | pp.pp.25-30(BioX), pp.25-30(PRMU), |
| #Pages | 6 |
| Date of Issue | 2018-03-11 (BioX, PRMU) |