Knowledge Commons of Institute of Automation,CAS
A discriminative graph inferring framework towards weakly supervised image parsing | |
Yu, Lei; Bao, Bing-Kun; Xu, Changsheng | |
发表期刊 | MULTIMEDIA SYSTEMS |
2017-02-01 | |
卷号 | 23期号:1页码:5-18 |
文章类型 | Article |
摘要 | In this paper, we focus on the task of assigning labels to the over-segmented image patches in a weakly supervised manner, in which the training images contain the labels but do not have the labels' locations in the images. We propose a unified discriminative graph inferring framework by simultaneously inferring patch labels and learning the patch appearance models. On one hand, graph inferring reasons the patch labels by a graph propagation procedure. The graph is constructed by connecting the nearest neighbors which share the same image label, and multiple correlations among patches and image labels are imposed as constraints to the inferring. On the other hand, for each label, the patches which do not contain the target label are adopted as negative samples to learn the appearance model. In this way, the predicted labels will be more accurate in the propagation. Graph inferring and the learned patch appearance models are finally embedded to complement each other in one unified formulation. Experiments on three public datasets demonstrate the effectiveness of our method in comparison with other baselines. |
关键词 | Image Annotation Appearance Model Label Propagation Label Localization Image Parsing |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1007/s00530-015-0458-5 |
关键词[WOS] | TAG LOCALIZATION ; RECOGNITION ; ANNOTATION ; FEATURES ; DATABASE ; OBJECT |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 973 Program(2012CB316304) ; National Natural Science Foundation of China(61201374 ; Beijing Natural Science Foundation(4131004 ; 61225009 ; 4152053) ; 61432019) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Information Systems ; Computer Science, Theory & Methods |
WOS记录号 | WOS:000393759100002 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11170 |
专题 | 多模态人工智能系统全国重点实验室_多媒体计算 |
作者单位 | Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Yu, Lei,Bao, Bing-Kun,Xu, Changsheng. A discriminative graph inferring framework towards weakly supervised image parsing[J]. MULTIMEDIA SYSTEMS,2017,23(1):5-18. |
APA | Yu, Lei,Bao, Bing-Kun,&Xu, Changsheng.(2017).A discriminative graph inferring framework towards weakly supervised image parsing.MULTIMEDIA SYSTEMS,23(1),5-18. |
MLA | Yu, Lei,et al."A discriminative graph inferring framework towards weakly supervised image parsing".MULTIMEDIA SYSTEMS 23.1(2017):5-18. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A discriminative gra(2793KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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