中国科学院深圳先进技术研究院机构知识库(SIAT OpenIR): Manifold Ranking-Based Matrix Factorization for Saliency Detection
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Manifold Ranking-Based Matrix Factorization for Saliency Detection
Dapeng Tao; Jun Cheng; Mingli Song; Xu Lin
2016
Source PublicationNeural Networks and Learning Systems, IEEE Transactions on
Subtype期刊论文
AbstractSaliency detection is used to identify the most important and informative area in a scene, and it is widely used in various vision tasks, including image quality assessment, image matching, and object recognition. Manifold ranking (MR) has been used to great effect for the saliency detection, since it not only incorporates the local spatial information but also utilizes the labeling information from background queries. However, MR completely ignores the feature information extracted from each superpixel. In this paper, we propose an MR-based matrix factorization (MRMF) method to overcome this limitation. MRMF models the ranking problem in the matrix factorization framework and embeds query sample labels in the coefficients. By incorporating spatial information and embedding labels, MRMF enforces similar saliency values on neighboring superpixels and ranks superpixels according to the learned coefficients. We prove that the MRMF has good generalizability, and develops an efficient optimization algorithm based on the Nesterov method. Experiments using popular benchmark data sets illustrate the promise of MRMF compared with the other state-of-the-art saliency detection methods.
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Indexed BySCI
Language英语
Department人机控制研究室
Document Type期刊论文
Identifierhttp://ir.siat.ac.cn/handle/172644/9915
Collection集成所
AffiliationNeural Networks and Learning Systems, IEEE Transactions on
Recommended Citation
GB/T 7714
Dapeng Tao,Jun Cheng,Mingli Song,et al. Manifold Ranking-Based Matrix Factorization for Saliency Detection[J]. Neural Networks and Learning Systems, IEEE Transactions on,2016.
APA Dapeng Tao,Jun Cheng,Mingli Song,&Xu Lin.(2016).Manifold Ranking-Based Matrix Factorization for Saliency Detection.Neural Networks and Learning Systems, IEEE Transactions on.
MLA Dapeng Tao,et al."Manifold Ranking-Based Matrix Factorization for Saliency Detection".Neural Networks and Learning Systems, IEEE Transactions on (2016).
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