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This paper deals with the problem of modeling Internet images and associated texts for cross-modal retrieval such as text-to-image retrieval and image-to-text retrieval. We start with deep canonical correlation analysis (DCCA), a deep approach for mapping text and image pairs into a common latent space. We first propose a novel progressive framework and embed DCCA in it. In our progressive framework,...
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