Improving Multi-label Learning with Missing Labels by Structured Semantic Correlations

4 Aug 2016Hao YangJoey Tianyi ZhouJianfei Cai

Multi-label learning has attracted significant interests in computer vision recently, finding applications in many vision tasks such as multiple object recognition and automatic image annotation. Associating multiple labels to a complex image is very difficult, not only due to the intricacy of describing the image, but also because of the incompleteness nature of the observed labels... (read more)

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