Simple to Complex Cross-modal Learning to Rank.

Computer Vision and Image Understanding(2017)

引用 81|浏览131
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摘要
•We learn a more optimal multi-modal embedding space gradually from easy to more complex rankings.•We employ non-linear mapping functions to establish the multi-modal embedding space for more sophisticated cross-modal correspondence.•An efficient alternative algorithm is exploited to solve the proposed challenging problem with a fast convergence in practice.
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关键词
Cross-modal retrieval,Learning to rank,Self-paced learning,Diversity regularization
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