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| Presentation | 2020-09-02 16:30 Representation Learning using Video Frame Prediction and Contrastive Learning Hidemoto Nakada, Hideki Asoh (AIST)  PRMU2020-17 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The recent development in the unsupervised learning area enabled accuracy in the downstream tasks that equal the one with supervised pretraining using the labeled data, with transfer learning using a small amount of labeled data. Most of these unsupervised methods rely on the data augmentation techniques, such as random cropping, known to be empirically effective in giving the models' induction bias. We propose to use the inherent continuity of video frames instead of empirical data augmentation techniques. Namely, we propose two methods, 1) use another frame in the same video clip as a positive sample, 2) predict a frame using other frames in the same clip and use the predicted frame as a positive sample. We evaluated these methods with image classification as the downstream task. The result showed that while the former method could not achieve good accuracy, the second method equals the traditional data augmentation techniques. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Representation Learning / Contrastive Learning / Unsupervised Learning / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 154, PRMU2020-17, pp. 59-64, Sept. 2020. | |
| Paper # | PRMU2020-17 | |
| Date of Issue | 2020-08-26 (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) | |
| Download PDF | PRMU2020-17 |
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| Conference Information | |
| Committee | PRMU |
| Conference Date | 2020-09-02 - 2020-09-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-modal, Cross-modal |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2020-09-PRMU |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Representation Learning using Video Frame Prediction and Contrastive Learning |
| Sub Title (in English) | |
| Keyword(1) | Representation Learning |
| Keyword(2) | Contrastive Learning |
| Keyword(3) | Unsupervised Learning |
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| 1st Author's Name | Hidemoto Nakada |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
| 2nd Author's Name | Hideki Asoh |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology (AIST) |
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| Speaker | Author-1 |
| Date Time | 2020-09-02 16:30:00 |
| Presentation Time | 15 minutes |
| Registration for | PRMU |
| Paper # | PRMU2020-17 |
| Volume (vol) | vol.120 |
| Number (no) | no.154 |
| Page | pp.59-64 |
| #Pages | 6 |
| Date of Issue | 2020-08-26 (PRMU) |
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