Detection of Co-salient Objects by Looking Deep and Wide | |
Zhang, Dingwen1; Han, Junwei1; Li, Chao1; Wang, Jingdong2; Li, Xuelong3; Han, JW | |
作者部门 | 光学影像学习与分析中心 |
2016-11-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF COMPUTER VISION |
ISSN | 0920-5691 |
卷号 | 120期号:2页码:215-232 |
产权排序 | 3 |
摘要 | In this paper, we propose a unified co-salient object detection framework by introducing two novel insights: (1) looking deep to transfer higher-level representations by using the convolutional neural network with additional adaptive layers could better reflect the sematic properties of the co-salient objects; (2) looking wide to take advantage of the visually similar neighbors from other image groups could effectively suppress the influence of the common background regions. The wide and deep information are explored for the object proposal windows extracted in each image. The window-level co-saliency scores are calculated by integrating the intra-image contrast, the intra-group consistency, and the inter-group separability via a principled Bayesian formulation and are then converted to the superpixel-level co-saliency maps through a foreground region agreement strategy. Comprehensive experiments on two existing and one newly established datasets have demonstrated the consistent performance gain of the proposed approach. |
文章类型 | Article |
关键词 | Co-saliency Detection Domain Adaptive Convolutional Neural Network Bayesian Framework |
学科领域 | Computer Science, Artificial Intelligence |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1007/s11263-016-0907-4 |
收录类别 | SCI |
关键词[WOS] | VISUAL SALIENCY ; SEGMENTATION ; EXTRACTION ; MODEL ; DISCOVERY ; VIDEOS |
语种 | 英语 |
WOS研究方向 | Computer Science |
项目资助者 | National Science Foundation of China(61522207 ; Doctorate Foundation ; Excellent Doctorate Foundation of Northwestern Polytechnical University ; 61473231) |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000382092900006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28413 |
专题 | 光谱成像技术研究室 |
通讯作者 | Han, JW |
作者单位 | 1.Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China 2.Microsoft Res Asia, Beijing, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Dingwen,Han, Junwei,Li, Chao,et al. Detection of Co-salient Objects by Looking Deep and Wide[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2016,120(2):215-232. |
APA | Zhang, Dingwen,Han, Junwei,Li, Chao,Wang, Jingdong,Li, Xuelong,&Han, JW.(2016).Detection of Co-salient Objects by Looking Deep and Wide.INTERNATIONAL JOURNAL OF COMPUTER VISION,120(2),215-232. |
MLA | Zhang, Dingwen,et al."Detection of Co-salient Objects by Looking Deep and Wide".INTERNATIONAL JOURNAL OF COMPUTER VISION 120.2(2016):215-232. |
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Detection of Co-sali(7504KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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