AMC: Attention guided Multi-modal Correlation Learning for Image Search

CVPR 2017 Kan ChenTrung BuiFang ChenZhaowen WangRam Nevatia

Given a user's query, traditional image search systems rank images according to its relevance to a single modality (e.g., image content or surrounding text). Nowadays, an increasing number of images on the Internet are available with associated meta data in rich modalities (e.g., titles, keywords, tags, etc... (read more)

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