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Multi-concept image query is a multi-label classification challenge. Traditional query methods focus on single concept query, and only use image visual data without considering the associated textual tag data. In this work, we address the problem of bimodal multi-concept image query, namely retrieving bimodal images with multiple target concepts from the image set. We propose a novel Bimodal Learning...
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