A discriminative graph inferring framework towards weakly supervised image parsing
Yu, Lei; Bao, Bing-Kun; Xu, Changsheng
2017-02-01
发表期刊MULTIMEDIA SYSTEMS
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
DOI10.1007/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
专题模式识别国家重点实验室_多媒体计算与图形学
作者单位Chinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
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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.
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