Exploiting textual and visual features for image categorization.

Pattern Recognition Letters(2019)

引用 13|浏览138
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摘要
•Our proposed approach eliminates the dependence on manually labeled knowledge.•We propose to extract the semantic refinement subcategories from untagged corpora has a better scalability.•We propose a new unified objective function to jointly learn the classifiers for categories and subcategories.•Our approach shows substantial improvement over existing weakly supervised state-of-the-art baseline methods.
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关键词
General corpus information,Image categorization,Web-supervised
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