Feature Transformation Network for Few-Shot Learning

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, they not only ignore the Shortening association between query

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Stairs. Labour and happiness in architecture

Being an integral and necessary element of buildings and structures, stairs is MAG NO K2 BLUEBERRY considered not from the common point of view of regulation and construction, but in the presumption of the existence independent of our will, CANDLE TOOLS as if we knew nothing about stairs and, first seeing them, began to master them with surprise an

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