| Presentation | 2018-03-19 Accuracy Improvement of Fashon Style Classification by Appropriate Training Data and Estimation of Human Regions Takeshi Nakajima, Takuro Oki, Ryusuke Miyamoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Fashion style estimation from an input image where a human wearing clothes exists is a challenging task in the field of image recognition. This paper tries to improve the classification accuracy of fashion style estimation by the following two approaches: construction of an appropriate data set with style labels and preprocessing with semantic segmentation to reduce the influence of background regions. The data set constructed in this work improved the classification accuracy of the Hipster Wars data set to about 78.8%. When the semantic segmentation based on PSPNet was applied with our data set, the classification accuracy was improved to about 80.9% that is currently the best accuracy in the world. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Fashion style estimation / large-scale data set / deep neural network / semantic segmentation |
| Paper # | EA2017-137,SIP2017-146,SP2017-120 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |
| Conference Information | |
| Committee | SIP / EA / SP / MI |
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| Conference Date | 2018/3/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech, Engineering/Electro Acoustics, Signal Processing, and Related Topics [SIP, EA, SP]/ Medical Image Engineering, Analysis, Recognition, etc. [MI] |
| Chair | Masahiro Okuda(Univ. of Kitakyushu) / Suehiro Shimauchi(NTT) / Yoichi Yamashita(Ritsumeikan Univ.) / Kensaku Mori(Nagoya Univ.) |
| Vice Chair | Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Mitsunori Mizumachi(Kyutech) / Hiroki Mori(Utsunomiya Univ.) / Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Mitsunori Mizumachi(Akita Pref. Univ.) / Hiroki Mori(Shizuoka Inst. of Science and Tech.) / Yoshiki Kawata(Shizuoka Univ.) / Yuichi Kimura(Meijo Univ.) |
| Assistant | Masayoshi Nakamoto(Hiroshima Univ.ひろ) / TREVINO Jorge(Tohoku Univ.) / Nobutaka Ito(NTT) / Kei Hashimoto(Nagoya Inst. of Tech.) / Satoshi Kobashikawa(NTT) / Ryo Haraguchi(Univ. of Hyogo) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Engineering Acoustics / Technical Committee on Speech / Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Accuracy Improvement of Fashon Style Classification by Appropriate Training Data and Estimation of Human Regions |
| Sub Title (in English) | |
| Keyword(1) | Fashion style estimation |
| Keyword(2) | large-scale data set |
| Keyword(3) | deep neural network |
| Keyword(4) | semantic segmentation |
| 1st Author's Name | Takeshi Nakajima |
| 1st Author's Affiliation | Meiji University(Meiji Univ.) |
| 2nd Author's Name | Takuro Oki |
| 2nd Author's Affiliation | Meiji University(Meiji Univ.) |
| 3rd Author's Name | Ryusuke Miyamoto |
| 3rd Author's Affiliation | Meiji University(Meiji Univ.) |
| Date | 2018-03-19 |
| Paper # | EA2017-137,SIP2017-146,SP2017-120 |
| Volume (vol) | vol.117 |
| Number (no) | EA-515,SIP-516,SP-517 |
| Page | pp.pp.197-202(EA), pp.197-202(SIP), pp.197-202(SP), |
| #Pages | 6 |
| Date of Issue | 2018-03-12 (EA, SIP, SP) |