Presentation 2016-09-05
[Invited Short Survey] Integration of Convolutional Neural Networks and Conditional Random Fields
Masaki Saito,
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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
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
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)