Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
The focus of recent meta-learning research has been onthe development of learning algorithms that can quicklyadapt to test time tasks with limited data and low compu-tational cost. Few-shot learning is widely used as one ofthe standard benchmarks in meta-learning. In this work, weshow that a simple...
| Main Authors: | , , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Springer,
2021-01-13T15:40:27Z.
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| Subjects: | |
| Online Access: | Get fulltext |