Few Shot Image Classification On Mini 6
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| deep-kernel-transfer-in-gaussian-processes | 56.40 |
| laplacian-regularized-few-shot-learning | 66.33 |
| a-closer-look-at-few-shot-classification-1 | 62.04 |
| few-shot-learning-as-domain-adaptation | 68.33 |
| leveraging-the-feature-distribution-in | 76.51 |
| transductive-decoupled-variational-inference | 80.74 |
| squeezing-backbone-feature-distributions-to | 79.15 |
| hypershot-few-shot-learning-by-kernel | 58.86 |