Presentation | 2020-03-16 Continuous Variables Estimation Through Classification Networks Ensembles Qianyuan Liu, Yu Wang, Jien Kato, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | With the development of deep learning, CNNs have shown outstanding performance on various tasks. Previous approaches find that CNNs perform better on classification tasks than regression tasks, because regression task is a highly challenging task that approximates a mapping function from input variables to a continuous output variable. In the computer vision and mul-timedia communities, researchers address continuous variables estimation by deep convolutional neural regression networks. In this paper we make estimation of the continuous attributes of images by using classification networks ensembling. To the best of our knowledge, this is the first attempt to address regression problems through classification networks ensembles and our proposed method shows great versatility in different datasets. Experiment results show that our proposed method outper-forms the regression method and single classification network. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Regression taskClassification taskNetworks EnsemblingCNNs |
Paper # | PRMU2019-87 |
Date of Issue | 2020-03-09 (PRMU) |
Conference Information | |
Committee | PRMU / IPSJ-CVIM |
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Conference Date | 2020/3/16(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Yoichi Sato(Univ. of Tokyo) |
Vice Chair | Toru Tamaki(Hiroshima Univ.) / Akisato Kimura(NTT) |
Secretary | Toru Tamaki(NTT) / Akisato Kimura(OMRON SINICX) |
Assistant | Yusuke Uchida(DeNA) / Takayoshi Yamashita(Chubu Univ.) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Continuous Variables Estimation Through Classification Networks Ensembles |
Sub Title (in English) | |
Keyword(1) | Regression taskClassification taskNetworks EnsemblingCNNs |
1st Author's Name | Qianyuan Liu |
1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
2nd Author's Name | Yu Wang |
2nd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
3rd Author's Name | Jien Kato |
3rd Author's Affiliation | Ritsumeikan University(Ritsumeikan Univ.) |
Date | 2020-03-16 |
Paper # | PRMU2019-87 |
Volume (vol) | vol.119 |
Number (no) | PRMU-481 |
Page | pp.pp.109-114(PRMU), |
#Pages | 6 |
Date of Issue | 2020-03-09 (PRMU) |