Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?

25 Mar 2020Yonglong TianYue WangDilip KrishnanJoshua B. TenenbaumPhillip Isola

The focus of recent meta-learning research has been on the development of learning algorithms that can quickly adapt to test time tasks with limited data and low computational cost. Few-shot learning is widely used as one of the standard benchmarks in meta-learning... (read more)

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