Few Shot Image Classification On Dirichlet
المقاييس
1:1 Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | 1:1 Accuracy |
|---|---|
| model-agnostic-meta-learning-for-fast | 47.6 |
| leveraging-the-feature-distribution-in | 60.6 |
| meta-learning-probabilistic-inference-for | 47.8 |
| adaptive-dimension-reduction-and-variational | 71.0 |
| laplacian-regularized-few-shot-learning-1 | 65.4 |
| prototypical-networks-for-few-shot-learning | 53.6 |
| prototype-rectification-for-few-shot-learning | 67.0 |
| instance-credibility-inference-for-few-shot | 58.7 |
| realistic-evaluation-of-transductive-few-shot-1 | 67.4 |
| a-baseline-for-few-shot-image-classification | 58.5 |
| simpleshot-revisiting-nearest-neighbor | 63.0 |
| a-closer-look-at-few-shot-classification-1 | 60.4 |