CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Multi-label learning with missing labels for image annotation and facial action unit recognition
Wu, Baoyuan1; Lyu, Siwei2; Hu, Bao-Gang1; Ji, Qiang3
Source PublicationPATTERN RECOGNITION
2015-07-01
Volume48Issue:7Pages:2279-2289
SubtypeArticle
AbstractMany problems in computer vision, such as image annotation, can be formulated as multi-label learning problems. It is typically assumed that the complete label assignment for each training image is available. However, this is often not the case in practice, as many training images may only be annotated with a partial set of labels, either due to the intensive effort to obtain the fully labeled training set or the intrinsic ambiguities among the classes. In this work, we propose a method for multi-label learning that explicitly handles missing labels. We train classifiers with the multi-label with missing labels (MLML) learning framework by enforcing the consistency between the predicted labels and the provided labels as well as the local smoothness among the label assignments. Experiments on three benchmark data sets in image annotation and one benchmark data set in facial action unit recognition demonstrate the improved performance of our method in comparison of several state-of-the-art methods. (C) 2015 Elsevier Ltd. All rights reserved.
KeywordMulti-label Learning Missing Labels Image Annotation Facial Action Unit Recognition
WOS HeadingsScience & Technology ; Technology
WOS KeywordSUPPORT VECTOR MACHINES ; CLASSIFICATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000352333300013
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8135
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.SUNY Albany, Dept Comp Sci, Albany, NY 12222 USA
3.Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
Recommended Citation
GB/T 7714
Wu, Baoyuan,Lyu, Siwei,Hu, Bao-Gang,et al. Multi-label learning with missing labels for image annotation and facial action unit recognition[J]. PATTERN RECOGNITION,2015,48(7):2279-2289.
APA Wu, Baoyuan,Lyu, Siwei,Hu, Bao-Gang,&Ji, Qiang.(2015).Multi-label learning with missing labels for image annotation and facial action unit recognition.PATTERN RECOGNITION,48(7),2279-2289.
MLA Wu, Baoyuan,et al."Multi-label learning with missing labels for image annotation and facial action unit recognition".PATTERN RECOGNITION 48.7(2015):2279-2289.
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