| Paper Abstract and Keywords |
| Presentation |
2018-02-16 13:00
Study of Multi-Scale Residual Network for Image-to-Image Translation
Rei Endo, Yoshihiko Kawai, Takahiro Mochizuki (NHK) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In recent years, deep neural networks have widely studied in various fields such as object recognition, scene classification, colorization of monochrome images, and region segmentation of images. Especially, image converting tasks, such as colorization and region segmentation, are studied actively in particular, and, various image-to-image translation neural network for the image converting tasks have been proposed. In this paper, we propose Multi-Scale Residual Network (MSRN) for image converting with parallel calculation paths of various spatial scale features of images. MSRN has a structure that holds features of multiple spatial scales in parallel and calculates residuals of the feature of each scale by using the features of all scales. As a result, it can be expected that a network can be obtained various local features on various spatial scales. MSRN is evaluated using MS-COCO Stuff for region segmentation, and the outline of the method and its result are shown. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Deep neural network / Image-to-image translation / Residual unit / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 42, no. 4, ME2018-35, pp. 319-322, Feb. 2018. |
| Paper # |
ME2018-35 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
IEICE-ITS IEICE-IE MMS HI ME AIT |
| Conference Date |
2018-02-15 - 2018-02-16 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Hokkaido Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Image Processing, etc. |
| Paper Information |
| Registration To |
ME |
| Conference Code |
2018-02-ITS-IE-MMS-HI-ME-AIT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Study of Multi-Scale Residual Network for Image-to-Image Translation |
| Sub Title (in English) |
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| Keyword(1) |
Deep neural network |
| Keyword(2) |
Image-to-image translation |
| Keyword(3) |
Residual unit |
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| 1st Author's Name |
Rei Endo |
| 1st Author's Affiliation |
Japan Broadcasting Corporation (NHK) |
| 2nd Author's Name |
Yoshihiko Kawai |
| 2nd Author's Affiliation |
Japan Broadcasting Corporation (NHK) |
| 3rd Author's Name |
Takahiro Mochizuki |
| 3rd Author's Affiliation |
Japan Broadcasting Corporation (NHK) |
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| Speaker |
Author-1 |
| Date Time |
2018-02-16 13:00:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
MMS2018-35, HI2018-35, ME2018-35, AIT2018-35 |
| Volume (vol) |
vol.42 |
| Number (no) |
no.4 |
| Page |
pp.319-322 |
| #Pages |
4 |
| Date of Issue |
2018-02-08 (MMS, HI, ME, AIT) |