VCSNet: V-fused color saliency net
文献类型：期刊论文
| 作者 | Xu, Binjing2; Wu, Qiong3; Qin, Hong1,4,5; Liu, Zhiyuan6; Shi, Lin2; Li, Shuang4 |
| 刊名 | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
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| 出版日期 | 2022-06-14 |
| 页码 | 12 |
| ISSN号 | 1532-0626 |
| 关键词 | color attention deep learning eye movement saliency detection |
| DOI | 10.1002/cpe.7127 |
| 英文摘要 | Image salient region detection methods, which can detect and extract interesting regions in pictures, have been a hot research direction in recent years. Most of current salient region detection algorithms and corresponding training datasets originated from general visual attention processes and primarily reflected attention to object shape in pictures. While color vision provided more useful information in vision systems, the color effect of visual attention should be and must be considered. First, we collected cue data of painting pictures from several observers using eye-track recording technology when observers were asked to pay attention to color information of various paintings. Second, we constructed a color attention dataset, color saliency dataset (CSD), from the cue data and pictures. Thirdly, we designed a V-fused color saliency net (VCSNet) model which included three modules: a color information fusion module, a prediction module, and an optimization module and trained the model using the CSD. Finally, we compared our method with previous algorithms on the CSD, and results showed that our method outperformed the previous algorithms in color saliency detection with MAE of 0.057 and Fmax of 0.265. We open source part of the self-created dataset: . |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000810647100001 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19616]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Shi, Lin; Li, Shuang |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Integrated Circuits, Beijing, Peoples R China 2.Kunming Univ Sci & Technol, Sch Automat & Informat Engn, Kunming 650500, Yunnan, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China 5.Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing, Peoples R China 6.PowerChina Kunming Engn Corp Ltd, Kunming, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Binjing,Wu, Qiong,Qin, Hong,et al. VCSNet: V-fused color saliency net[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2022:12. |
| APA | Xu, Binjing,Wu, Qiong,Qin, Hong,Liu, Zhiyuan,Shi, Lin,&Li, Shuang.(2022).VCSNet: V-fused color saliency net.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,12. |
| MLA | Xu, Binjing,et al."VCSNet: V-fused color saliency net".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE (2022):12. |
入库方式： OAI收割
来源：计算技术研究所
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