Few Shot Image Classification On Dirichlet 3
Metrics
1:1 Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | 1:1 Accuracy |
|---|---|
| simpleshot-revisiting-nearest-neighbor | 84.7 |
| a-closer-look-at-few-shot-classification-1 | 84.2 |
| realistic-evaluation-of-transductive-few-shot-1 | 86.6 |
| a-baseline-for-few-shot-image-classification | 75.5 |
| laplacian-regularized-few-shot-learning-1 | 85.7 |
| prototype-rectification-for-few-shot-learning | 84.8 |
| instance-credibility-inference-for-few-shot | 85.1 |
| adaptive-dimension-reduction-and-variational | 86.5 |
| leveraging-the-feature-distribution-in | 70.0 |