Few Shot Image Classification On Stanford
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MATANet | 55.63 | Multi-scale Adaptive Task Attention Network for Few-Shot Learning | - |
| MML(KL) | 59.05 | Multi-level Metric Learning for Few-shot Image Recognition | - |
| DN4-DA (k=1) | 45.73 | Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning |
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