Paper Abstract and Keywords |
Presentation |
2019-03-06 14:30
Complementary Color Reconstruction by Autoencoders Akihiro Suzuki, Hakaru Tamukoh (Kyutech) SIS2018-41 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study proposes a novel training method for autoencoders (AEs) that gives the AEs complementary color images as target data. Using the proposed method, AEs are trained to reconstruct complementary color images from input images. The trained AEs are applied to anomaly detection. In this case, correct data is correctly reconstructed, and anomalous data is complementary color reconstructed, by the trained AEs. Therefore, the AEs are available for anomaly detection using reconstruction error to distinguish between correct data and anomalous data. This paper employs HSV image instead of RGB image and reports anomaly detection with CIFAR-10 dataset using an AE trained by the proposed method. In addition, features which the AE obtain via proposed method were confirmed by visualizing value of a hidden layer of the AE. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep Learning / Autoencoders / Anomaly Detection / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 473, SIS2018-41, pp. 23-28, March 2019. |
Paper # |
SIS2018-41 |
Date of Issue |
2019-02-27 (SIS) |
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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SIS2018-41 |
Conference Information |
Committee |
SIS |
Conference Date |
2019-03-06 - 2019-03-07 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Tokyo Univ. Science, Katsushika Campus |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Soft Computing, etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2019-03-SIS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Complementary Color Reconstruction by Autoencoders |
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Deep Learning |
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Autoencoders |
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Anomaly Detection |
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1st Author's Name |
Akihiro Suzuki |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
2nd Author's Name |
Hakaru Tamukoh |
2nd Author's Affiliation |
Kyushu Institute of Technology (Kyutech) |
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Speaker |
Author-1 |
Date Time |
2019-03-06 14:30:00 |
Presentation Time |
20 minutes |
Registration for |
SIS |
Paper # |
SIS2018-41 |
Volume (vol) |
vol.118 |
Number (no) |
no.473 |
Page |
pp.23-28 |
#Pages |
6 |
Date of Issue |
2019-02-27 (SIS) |
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