Few Shot Image Classification On Dirichlet 5
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | 1:1 Accuracy |
|---|---|
| adaptive-dimension-reduction-and-variational | 90.7 |
| prototype-rectification-for-few-shot-learning | 87.1 |
| simpleshot-revisiting-nearest-neighbor | 87.5 |
| laplacian-regularized-few-shot-learning-1 | 87.7 |
| leveraging-the-feature-distribution-in | 71.3 |
| a-closer-look-at-few-shot-classification-1 | 87.5 |
| a-baseline-for-few-shot-image-classification | 82.9 |
| realistic-evaluation-of-transductive-few-shot-1 | 89.8 |