| Paper Abstract and Keywords |
| Presentation |
2023-06-21 14:10
[Poster Presentation]
Verification of the effectiveness of multitask learning for demosaicking and white-balancing
Yuki Nakagomi, Ryoya Takeuchi, Taishi Iriyama, Takashi Komuro (Saitama Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this study, we conducted an investigation on the learning effectiveness of jointly training demosaicking and white balance in a multi-task learning. We used datasets that were designed for jointly training of demosaicking and white balance, as well as datasets for sepalately training each task. We employed ResNet and U-Net models for the experiments and performed tests using models trained jointly and models trained separately for each task. The test results were compared to evaluate the performance. The experimental results showed that the models trained jointly achieved improved subjective performance for demosaicking and white balance. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
White-Balance / Demosaicking / multitask learning / Convolutional neural network / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 47, no. 19, IST2023-25, pp. 19-22, June 2023. |
| Paper # |
IST2023-25 |
| Date of Issue |
2023-06-14 (IST) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IST |
| Conference Date |
2023-06-21 - 2023-06-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokyo University of Science Morito Memorial Hall |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IST |
| Conference Code |
2023-06-IST |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Verification of the effectiveness of multitask learning for demosaicking and white-balancing |
| Sub Title (in English) |
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| Keyword(1) |
White-Balance |
| Keyword(2) |
Demosaicking |
| Keyword(3) |
multitask learning |
| Keyword(4) |
Convolutional neural network |
| Keyword(5) |
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| 1st Author's Name |
Yuki Nakagomi |
| 1st Author's Affiliation |
Saitama University (Saitama Univ) |
| 2nd Author's Name |
Ryoya Takeuchi |
| 2nd Author's Affiliation |
Saitama University (Saitama Univ) |
| 3rd Author's Name |
Taishi Iriyama |
| 3rd Author's Affiliation |
Saitama University (Saitama Univ) |
| 4th Author's Name |
Takashi Komuro |
| 4th Author's Affiliation |
Saitama University (Saitama Univ) |
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| Speaker |
Author-1 |
| Date Time |
2023-06-21 14:10:00 |
| Presentation Time |
60 minutes |
| Registration for |
IST |
| Paper # |
IST2023-25 |
| Volume (vol) |
vol.47 |
| Number (no) |
no.19 |
| Page |
pp.19-22 |
| #Pages |
4 |
| Date of Issue |
2023-06-14 (IST) |