Paper Abstract and Keywords |
Presentation |
2016-09-05 18:10
[Invited Short Survey] Integration of Convolutional Neural Networks and Conditional Random Fields Masaki Saito (PFN) PRMU2016-73 IBISML2016-28 |
Abstract |
(in Japanese) |
(See Japanese page) |
(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 Networks
by using a Conditional Random Field, which describes the correlation between such variables. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Convolutional Neural Networks / Deep Learning / Conditional Random Fields / Message Passing / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 208, PRMU2016-73, pp. 157-162, Sept. 2016. |
Paper # |
PRMU2016-73 |
Date of Issue |
2016-08-29 (PRMU, IBISML) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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PRMU2016-73 IBISML2016-28 |
Conference Information |
Committee |
PRMU IPSJ-CVIM IBISML |
Conference Date |
2016-09-05 - 2016-09-06 |
Place (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
PRMU |
Conference Code |
2016-09-PRMU-CVIM-IBISML |
Language |
Japanese |
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) |
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Keyword(1) |
Convolutional Neural Networks |
Keyword(2) |
Deep Learning |
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Conditional Random Fields |
Keyword(4) |
Message Passing |
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1st Author's Name |
Masaki Saito |
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Preferred Networks, inc. (PFN) |
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Speaker |
Author-1 |
Date Time |
2016-09-05 18:10:00 |
Presentation Time |
20 minutes |
Registration for |
PRMU |
Paper # |
PRMU2016-73, IBISML2016-28 |
Volume (vol) |
vol.116 |
Number (no) |
no.208(PRMU), no.209(IBISML) |
Page |
pp.157-162 |
#Pages |
6 |
Date of Issue |
2016-08-29 (PRMU, IBISML) |
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