| Presentation | 2023-03-01 RGB-D Salient Object Detection Using Saliency and Edge Reverse Attention Tomoki Ikeda, Masaaki Ikehara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Deep Learning / Image Processing / RGB-D Salient Object Detection / Reverse Attention |
| Paper # | EA2022-127,SIP2022-171,SP2022-91 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |
| Conference Information | |
| Committee | SP / IPSJ-SLP / EA / SIP |
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| Conference Date | 2023/2/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Tomoki Toda(Nagoya Univ.) / Tomoki Toda(Nagoya Univ.) / Kenichi Furuya(Oita Univ.) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) |
| Vice Chair | / / Tatsuya Kako(NTT) / Junki Ono(Tokyo Metropolitan Univ.) / Koichi Ichige(Yokohama National Univ.) / Takayuki Nakachi(Ryukyu Univ.) |
| Secretary | (NTT) / (Univ. of Electro-Comm.) / Tatsuya Kako(NTT) / Junki Ono(Univ. of Electro-Comm.) / Koichi Ichige(NTT) / Takayuki Nakachi(RitsumeikanUniv.) |
| Assistant | Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Ryo Aihara(Mitsubishi Electric) / Daisuke Saito(Univ. of Tokyo) / Masato Nakayama(Osaka Sangyo Univ.) / Kouhei Yatabe(Tuat) / Taichi Yoshida(UEC) / Shoko Imaizumi(Chiba Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Speech / Special Interest Group on Spoken Language Processing / Technical Committee on Engineering Acoustics / Technical Committee on Signal Processing |
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| Language | JPN |
| 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 |
| 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.) |
| Date | 2023-03-01 |
| Paper # | EA2022-127,SIP2022-171,SP2022-91 |
| Volume (vol) | vol.122 |
| Number (no) | EA-387,SIP-388,SP-389 |
| Page | pp.pp.300-305(EA), pp.300-305(SIP), pp.300-305(SP), |
| #Pages | 6 |
| Date of Issue | 2023-02-21 (EA, SIP, SP) |