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| Presentation | 2021-12-18 15:15 On Weight Filter Generation Using an Attention Module in a Super-Resolution Method Keitaro Otani, Hidehiro Nakano (Tokyo City Univ.)  NLP2021-66 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the development of computer technology has led to an increase in the number of systems that require large-scale data, and there is a growing demand for image and audio data with a greater amount of information. Super-resolution in images is a method of transforming low-resolution images into high-resolution images, and super-resolution methods using machine learning have achieved great success with the development of convolutional neural networks. In this study, we propose a method to generate weight filters using Attention Module for Meta-SR, which enables super-resolution of arbitrary magnification with a single model by using dynamic weight filters for high resolution. The effectiveness of this method is verified through validation experiments using SSIM (Structural Similarity) and PSNR (Peak-Signal to Noise Ratio) as evaluation indices. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Super-Resolution / Image / Attention / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 307, NLP2021-66, pp. 104-109, Dec. 2021. | |
| Paper # | NLP2021-66 | |
| Date of Issue | 2021-12-10 (NLP) | |
| 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 | NLP2021-66 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2021-12-17 - 2021-12-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | J:COM Horuto Hall OITA |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2021-12-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On Weight Filter Generation Using an Attention Module in a Super-Resolution Method |
| Sub Title (in English) | |
| Keyword(1) | Super-Resolution |
| Keyword(2) | Image |
| Keyword(3) | Attention |
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| 1st Author's Name | Keitaro Otani |
| 1st Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
| 2nd Author's Name | Hidehiro Nakano |
| 2nd Author's Affiliation | Tokyo City University (Tokyo City Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-12-18 15:15:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2021-66 |
| Volume (vol) | vol.121 |
| Number (no) | no.307 |
| Page | pp.104-109 |
| #Pages | 6 |
| Date of Issue | 2021-12-10 (NLP) |
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