CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
A discriminative graph inferring framework towards weakly supervised image parsing
Yu, Lei; Bao, Bing-Kun; Xu, Changsheng
Source PublicationMULTIMEDIA SYSTEMS
2017-02-01
Volume23Issue:1Pages:5-18
SubtypeArticle
AbstractIn 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.
KeywordImage Annotation Appearance Model Label Propagation Label Localization Image Parsing
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00530-015-0458-5
WOS KeywordTAG LOCALIZATION ; RECOGNITION ; ANNOTATION ; FEATURES ; DATABASE ; OBJECT
Indexed BySCI
Language英语
Funding Organization973 Program(2012CB316304) ; National Natural Science Foundation of China(61201374 ; Beijing Natural Science Foundation(4131004 ; 61225009 ; 4152053) ; 61432019)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000393759100002
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11170
Collection模式识别国家重点实验室_多媒体计算与图形学
AffiliationChinese Acad Sci, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
Recommended Citation
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.
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