zero-shot learning
(computing) A problem setup in machine learning, where, at test time, a learner observes samples from classes that were not observed during training and attempts to predict the class that they belong to, typically based on auxiliary information.
plural of Calame
One of a line of small stitches sewn close to an edge of a garment, either as decoration or to prevent fraying.
By means of hemopoiesis
多くの最新ベンチマークでは、ゼロショット学習によりモデルが訓練時に一度も観測されなかったカテゴリの画像を属性記述を活用して分類できるようになります。
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DiQt
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