| Presentation | 2023-02-21 Improving Fashion Compatibility Prediction with Color Distortion Prediction Ling Xiao, Toshihiko Yamasaki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Fashion compatibility prediction is suffering from the fact that the labeled dataset may become outdated quickly due to fast fashion. However, there are limited self/semi-supervised learning techniques in this field. In this paper, we propose a general color distortion prediction task forcing the baseline to recognize low-level image information to learn more discriminative representation for fashion compatibility prediction. The proposed pretext task is adopted in the state-of-the-art methods in fashion compatibility and shows its effectiveness in improving these methods' ability in extracting better feature representations. Applying the proposed pretext task to the baseline can consistently outperform the original baseline. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Self/semi-supervised learningFashion compatibility predictionColor distortionRepresentation learning |
| Paper # | ITS2022-44,IE2022-61 |
| Date of Issue | 2023-02-14 (ITS, IE) |
| Conference Information | |
| Committee | IE / ITS / ITE-MMS / ITE-ME / ITE-AIT |
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| Conference Date | 2023/2/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing, etc. |
| Chair | Kazuya Kodama(NII) / Masahiro Fujii(Utsunomiya Univ.) / Kenji Machida(NHK) / Hiroyuki Arai(Nippon Inst. of Tech.) / Hisaki Nate(Tokyo Polytechnic Univ.) |
| 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(Toyama Prefectural Univ.) / Naohisa Hashimoto(NIT, Tsuruoka College) / (Fukuoka Univ.) / Shogo Muramatsu(NHK) / (Hokkaido Univ.) |
| Assistant | Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Taishi Swabe(NAIST) / Keiji Jimi(Gunma Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Intelligent Transport Systems Technology / Technical Group on Multi-media Storage / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving Fashion Compatibility Prediction with Color Distortion Prediction |
| Sub Title (in English) | |
| Keyword(1) | Self/semi-supervised learningFashion compatibility predictionColor distortionRepresentation learning |
| 1st Author's Name | Ling Xiao |
| 1st Author's Affiliation | The University of Tokyo(UTokyo) |
| 2nd Author's Name | Toshihiko Yamasaki |
| 2nd Author's Affiliation | The University of Tokyo(UTokyo) |
| Date | 2023-02-21 |
| Paper # | ITS2022-44,IE2022-61 |
| Volume (vol) | vol.122 |
| Number (no) | ITS-384,IE-385 |
| Page | pp.pp.17-18(ITS), pp.17-18(IE), |
| #Pages | 2 |
| Date of Issue | 2023-02-14 (ITS, IE) |