few-shot learning
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English[edit]
Noun[edit]
few-shot learning (uncountable)
- (machine learning) An object categorization problem, mainly in computer vision, involving the classification of objects based on only a few examples.
- Coordinate terms: N-shot learning, one-shot learning, zero-shot learning