Few Shot Image Classification On Tiered 2
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| model-agnostic-meta-learning-for-fast | 34.4 |
| on-first-order-meta-learning-algorithms | 35.3 |
| model-agnostic-meta-learning-for-fast | 34.8 |
| on-first-order-meta-learning-algorithms | 33.7 |
| learning-to-propagate-labels-transductive | 44.8 |
| improving-few-shot-visual-classification-with | 54.6 |
| improved-few-shot-visual-classification | 57.1 |
| prototypical-networks-for-few-shot-learning | 38.6 |
| prototypical-networks-for-few-shot-learning | 37.3 |
| improved-few-shot-visual-classification | 48.1 |
| learning-to-propagate-labels-transductive | 39.4 |
| learning-to-compare-relation-network-for-few | 36.3 |
| improving-few-shot-visual-classification-with | 65.1 |