Paper Abstract and Keywords |
Presentation |
2022-09-15 10:45
Effect validation of adversarial auxiliary classifier for video disentanglement Takeshi Haga, Hiroshi Kera, Kazuhiko Kawamoto (Chiba Univ) PRMU2022-21 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The Disentanglement of sequential data such as video requires inductive biases to separate static latent variables from dynamic ones.
We propose a variational autoencoder to reinforce the inductive biases and test its effectiveness.
We define an auxiliary classifier, and our model trains adversarially between the encoder and the classifier so that features related to motion do not include in the static latent variables.
The validation experiment uses the Sprite dataset to demonstrate the effectiveness of the auxiliary classifier on three measures: input reconstruction, random sampling generation, and disentangling evaluation using entropy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
video / disentanglement / variational autoencoder / adversarial training / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 181, PRMU2022-21, pp. 67-71, Sept. 2022. |
Paper # |
PRMU2022-21 |
Date of Issue |
2022-09-07 (PRMU) |
ISSN |
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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PRMU2022-21 |
Conference Information |
Committee |
PRMU |
Conference Date |
2022-09-14 - 2022-09-15 |
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(See Japanese page) |
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Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Deep generative model |
Paper Information |
Registration To |
PRMU |
Conference Code |
2022-09-PRMU |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Effect validation of adversarial auxiliary classifier for video disentanglement |
Sub Title (in English) |
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video |
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disentanglement |
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variational autoencoder |
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adversarial training |
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1st Author's Name |
Takeshi Haga |
1st Author's Affiliation |
Chiba University (Chiba Univ) |
2nd Author's Name |
Hiroshi Kera |
2nd Author's Affiliation |
Chiba University (Chiba Univ) |
3rd Author's Name |
Kazuhiko Kawamoto |
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Chiba University (Chiba Univ) |
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Speaker |
Author-1 |
Date Time |
2022-09-15 10:45:00 |
Presentation Time |
15 minutes |
Registration for |
PRMU |
Paper # |
PRMU2022-21 |
Volume (vol) |
vol.122 |
Number (no) |
no.181 |
Page |
pp.67-71 |
#Pages |
5 |
Date of Issue |
2022-09-07 (PRMU) |
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