Detection of Co-salient Objects by Looking Deep and Wide
文献类型:期刊论文
作者 | Zhang, Dingwen1; Han, Junwei1; Li, Chao1; Wang, Jingdong2; Li, Xuelong3 |
刊名 | international journal of computer vision |
出版日期 | 2016-11-01 |
卷号 | 120期号:2页码:215-232 |
ISSN号 | 0920-5691 |
关键词 | Co-saliency detection Domain adaptive convolutional neural network Bayesian framework |
通讯作者 | han, jw |
产权排序 | 3 |
英文摘要 | 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. |
学科主题 | computer science, artificial intelligence |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence |
研究领域[WOS] | computer science |
关键词[WOS] | visual saliency ; segmentation ; extraction ; model ; discovery ; videos |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000382092900006 |
源URL | [http://ir.opt.ac.cn/handle/181661/28413] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
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.(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. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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