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Feature Transformation Network for Few-Shot Learning

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Few-shot learning researches to learn a novel concept from a handful of labeled samples. Due to the small amount of training data. deep network has the risk of over-fitting. Although many previous approaches based on metric criterion can make significant progress to tackle this challenge. https://www.parisnaturalfoodes.shop/product-category/peppermint-liq-castile-soap/
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