Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82155
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dc.contributor.authorTsang, Ivor Wai-Hungen
dc.contributor.authorGao, Shenghuaen
dc.contributor.authorMa, Yien
dc.date.accessioned2016-08-16T08:22:29Zen
dc.date.accessioned2019-12-06T14:47:41Z-
dc.date.available2016-08-16T08:22:29Zen
dc.date.available2019-12-06T14:47:41Z-
dc.date.issued2014en
dc.identifier.citationGao, S., Tsang, I. W.-H., & Ma, Y. (2014). Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization. IEEE Transactions on Image Processing, 23(2), 623-634.en
dc.identifier.issn1057-7149en
dc.identifier.urihttps://hdl.handle.net/10356/82155-
dc.description.abstractThis paper targets fine-grained image categorization by learning a category-specific dictionary for each category and a shared dictionary for all the categories. Such category-specific dictionaries encode subtle visual differences among different categories, while the shared dictionary encodes common visual patterns among all the categories. To this end, we impose incoherence constraints among the different dictionaries in the objective of feature coding. In addition, to make the learnt dictionary stable, we also impose the constraint that each dictionary should be self-incoherent. Our proposed dictionary learning formulation not only applies to fine-grained classification, but also improves conventional basic-level object categorization and other tasks such as event recognition. Experimental results on five data sets show that our method can outperform the state-of-the-art fine-grained image categorization frameworks as well as sparse coding based dictionary learning frameworks. All these results demonstrate the effectiveness of our method.en
dc.description.sponsorshipASTAR (Agency for Sci., Tech. and Research, S’pore)en
dc.language.isoenen
dc.relation.ispartofseriesIEEE Transactions on Image Processingen
dc.rights© 2013 IEEE.en
dc.subjectClass-specific dictionaryen
dc.subjectShared dictionaryen
dc.titleLearning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorizationen
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Engineeringen
dc.identifier.doi10.1109/TIP.2013.2290593en
item.fulltextNo Fulltext-
item.grantfulltextnone-
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