Presentation | 2016-09-05 [Invited Short Survey] Integration of Convolutional Neural Networks and Conditional Random Fields Masaki Saito, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Although Convolutional Neural Networks are one of the most frequently used methods for solving various types of problems in computer vision, they are not able to explicitly handle the correlation between the output variables of the discriminative model. This paper briefly introduces a lot of studies that aim to improve estimation accuracy of Convolutional Neural Networksby using a Conditional Random Field, which describes the correlation between such variables. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Convolutional Neural Networks / Deep Learning / Conditional Random Fields / Message Passing |
Paper # | PRMU2016-73,IBISML2016-28 |
Date of Issue | 2016-08-29 (PRMU, IBISML) |
Conference Information | |
Committee | PRMU / IPSJ-CVIM / IBISML |
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Conference Date | 2016/9/5(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Eisaku Maeda(NTT) / / Kenji Fukumizu(ISM) |
Vice Chair | Seiichi Uchida(Kyushu Univ.) / Hironobu Fujiyoshi(Chubu Univ.) / / Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
Secretary | Seiichi Uchida(Kyoto Univ.) / Hironobu Fujiyoshi(NTT) / / Masashi Sugiyama(Univ. of Tokyo) / Hisashi Kashima(Nagoya Inst. of Tech.) |
Assistant | Masaki Oonishi(AIST) / Takuya Funatomi(NAIST) / / Toshihiro Kamishima(AIST) / Tomoharu Iwata(NTT) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Special Interest Group on Computer Vision and Image Media / Technical Committee on Infomation-Based Induction Sciences and Machine Learning |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Invited Short Survey] Integration of Convolutional Neural Networks and Conditional Random Fields |
Sub Title (in English) | |
Keyword(1) | Convolutional Neural Networks |
Keyword(2) | Deep Learning |
Keyword(3) | Conditional Random Fields |
Keyword(4) | Message Passing |
1st Author's Name | Masaki Saito |
1st Author's Affiliation | Preferred Networks, inc.(PFN) |
Date | 2016-09-05 |
Paper # | PRMU2016-73,IBISML2016-28 |
Volume (vol) | vol.116 |
Number (no) | PRMU-208,IBISML-209 |
Page | pp.pp.157-162(PRMU), pp.157-162(IBISML), |
#Pages | 6 |
Date of Issue | 2016-08-29 (PRMU, IBISML) |