Multimodal feature generation framework for semantic image classification


The automatic attribution of semantic labels to unlabeled or weakly labeled images has received considerable attention but, given the complexity of the problem, remains a hard research topic. Here we propose a unified classification framework which mixes textual and visual information in a seamless manner. Unlike most recent previous works, computer vision… (More)
DOI: 10.1145/2324796.2324842


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