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Cross-Modulation Networks for Few-Shot Learning

By Hugo Prol and others
A family of recent successful approaches to few-shot learning relies on learning an embedding space in which predictions are made by computing similarities between examples. This corresponds to combining information between support and query examples at a very late stage of the prediction pipeline. Inspired by this observation, we hypothesize... Show more
December 1, 2018
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Cross-Modulation Networks for Few-Shot Learning
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