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We present a novel latent embedding model for learning a compatibility function between image and class embed-dings, in the context of zero-shot classification. The proposed method augments the state-of-the-art bilinear compatibility model by incorporating latent variables. Instead of learning a single bilinear map, it learns a collection of maps with the(More)
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