| Presentation | 2022-02-21 Domain Incremental Leaning with Adaptive Loss Functions Takumi Kawashima, Go Irie, Daiki Ikami, Kiyoharu Aizawa, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | During domain incremental learning of image classification task, the distribution of images continually change, and models adapt themselves to images with new features while retaining past knowledge. There are very few methods specialized in it compared to class incremental learning, where new classes are incrementally added. In this work, we propose a simple method for domain incremental learning problems. Our proposed method is based on rehearsal with exemplars, and adaptively decide weights of loss functions. In our experiments, we use three datasets, one of which we made for this task. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image classification / deep learning / catastrophic forgetting / domain incremental learning / distillation loss |
| Paper # | ITS2021-30,IE2021-39 |
| Date of Issue | 2022-02-14 (ITS, IE) |
| Conference Information | |
| Committee | IE / ITS / ITE-AIT / ITE-ME / ITE-MMS |
|---|---|
| Conference Date | 2022/2/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Chair | Kazuya Kodama(NII) / Masahiro Fujii(Utsunomiya Univ.) / Hisaki Nate(Tokyo Polytechnic Univ.) / Hiroyuki Arai(Nippon Inst. of Tech.) / Kenji Machida(NHK) |
| Vice Chair | Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) / Kohei Ohno(Meiji Univ.) / Naohisa Hashimoto(AIST) / / Shogo Muramatsu(Niigata Univ.) |
| Secretary | Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.) / Kohei Ohno(Akita Prefectural Univ.) / Naohisa Hashimoto(NIT, Tsuruoka College) / / Shogo Muramatsu(NHK) / (Hokkaido Univ.) |
| Assistant | Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Msataka Imao(Mitsubishi Electric) / Kenshi Saho(Toyama Prefectural Univ.) / Keiji Jimi(Gunma Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Artistic Image Technology / Technical Group on Media Engineering / Technical Group on Multi-media Storage |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Domain Incremental Leaning with Adaptive Loss Functions |
| Sub Title (in English) | |
| Keyword(1) | image classification |
| Keyword(2) | deep learning |
| Keyword(3) | catastrophic forgetting |
| Keyword(4) | domain incremental learning |
| Keyword(5) | distillation loss |
| 1st Author's Name | Takumi Kawashima |
| 1st Author's Affiliation | The University of Tokyo(UTokyo) |
| 2nd Author's Name | Go Irie |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Daiki Ikami |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 4th Author's Name | Kiyoharu Aizawa |
| 4th Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2022-02-21 |
| Paper # | ITS2021-30,IE2021-39 |
| Volume (vol) | vol.121 |
| Number (no) | ITS-373,IE-374 |
| Page | pp.pp.31-36(ITS), pp.31-36(IE), |
| #Pages | 6 |
| Date of Issue | 2022-02-14 (ITS, IE) |