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| Presentation | 2023-03-01 17:10 RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention Tomoki Ikeda, Masaaki Ikehara (Keio Univ.)  EA2022-127 SIP2022-171 SP2022-91 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Salient Object Detection is a task to detect visually significant objects in an image. Conventional methods have problems with blurring of object boundaries and inability to detect important parts of objects, leading to a decrease in accuracy. Therefore, in this paper, we propose Saliency and Edge Reverse Attention, which combines the fusion of saliency and edge features with Reverse Attention. This is a mechanism to enhance each other's features by interacting the reversed saliency and edge features. In addition, in order to make it easier to refer to the global information of an image, we introduced a module that can obtain rich information at different scales by transforming feature maps to different resolutions and interacting with them. Experimental results on five benchmarks show that the new method quantitatively performs as well as or better than the conventional method, and qualitatively improves the clarity of object boundaries and the accurate detection of important parts of the image. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Deep Learning / Image Processing / RGB-D Salient Object Detection / Reverse Attention / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 388, SIP2022-171, pp. 300-305, Feb. 2023. | |
| Paper # | SIP2022-171 | |
| Date of Issue | 2023-02-21 (EA, SIP, SP) | |
| 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 | EA2022-127 SIP2022-171 SP2022-91 |
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| Conference Information | |
| Committee | SP IPSJ-SLP EA SIP |
| Conference Date | 2023-02-28 - 2023-03-01 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2023-02-SP-SLP-EA-SIP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Image Processing |
| Keyword(3) | RGB-D Salient Object Detection |
| Keyword(4) | Reverse Attention |
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| 1st Author's Name | Tomoki Ikeda |
| 1st Author's Affiliation | Keio University (Keio Univ.) |
| 2nd Author's Name | Masaaki Ikehara |
| 2nd Author's Affiliation | Keio University (Keio Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-01 17:10:00 |
| Presentation Time | 20 minutes |
| Registration for | SIP |
| Paper # | EA2022-127, SIP2022-171, SP2022-91 |
| Volume (vol) | vol.122 |
| Number (no) | no.387(EA), no.388(SIP), no.389(SP) |
| Page | pp.300-305 |
| #Pages | 6 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |
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