| Presentation | 2021-03-02 A Face Identification System Based on Self-Supervised Learning Using Triplet-based Variational Autoencoder Yuta Hagio, Yutaka Kaneko, Yuta Hoshi, Marina Kamimura, Yasuhiro Murasaki, Masao Yamatomo, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a face image identification system based on self-supervised learning for IoT devices and companion robots used in the home. Our system automatically constructs a triplet-based training dataset, which consists of two face images of the same person and one face image of a different person. In addition, a face image discriminator based on Triplet-based Variational Autoencoder is trained using the constructed dataset. Experimental results show that our system could automatically construct a training data, and about 98% of the constructed data was in the correct format, consisting of two face images of the same person and one face image of a different person. We also confirmed that our system could identify four face images with 94.2% accuracy and six face images with 95.2% accuracy, by training the constructed dataset. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Face Identification / Self-Supervised Learning / Variational Autoencoder / Internet of Things / Companion Robots |
| Paper # | BioX2020-46,CNR2020-19 |
| Date of Issue | 2021-02-23 (BioX, CNR) |
| Conference Information | |
| Committee | BioX / CNR |
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| Conference Date | 2021/3/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akira Otsuka(AIST) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Takahiro Aoki(Fujitsu Labs.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Takahiro Aoki(SECOM) / Masatsugu Ichino(KDDI Research) / Masayuki Kanbara(Shibaura Inst. of Tech.) / Yoshihiko Murakawa(Panasonic) |
| Assistant | Emiko Sano(MitsubishiElectric) / Akihiro Hayasaka(NEC) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Face Identification System Based on Self-Supervised Learning Using Triplet-based Variational Autoencoder |
| Sub Title (in English) | |
| Keyword(1) | Face Identification |
| Keyword(2) | Self-Supervised Learning |
| Keyword(3) | Variational Autoencoder |
| Keyword(4) | Internet of Things |
| Keyword(5) | Companion Robots |
| 1st Author's Name | Yuta Hagio |
| 1st Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| 2nd Author's Name | Yutaka Kaneko |
| 2nd Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| 3rd Author's Name | Yuta Hoshi |
| 3rd Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| 4th Author's Name | Marina Kamimura |
| 4th Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| 5th Author's Name | Yasuhiro Murasaki |
| 5th Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| 6th Author's Name | Masao Yamatomo |
| 6th Author's Affiliation | Japan Broadcasting Corporation(NHK) |
| Date | 2021-03-02 |
| Paper # | BioX2020-46,CNR2020-19 |
| Volume (vol) | vol.120 |
| Number (no) | BioX-393,CNR-394 |
| Page | pp.pp.32-37(BioX), pp.32-37(CNR), |
| #Pages | 6 |
| Date of Issue | 2021-02-23 (BioX, CNR) |