Few Shot Image Classification On Tiered 3
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| learning-to-propagate-labels-transductive | 59.4 |
| on-first-order-meta-learning-algorithms | 52.0 |
| learning-to-propagate-labels-transductive | 57.9 |
| model-agnostic-meta-learning-for-fast | 53.3 |
| improved-few-shot-visual-classification | 70.2 |
| learning-to-compare-relation-network-for-few | 58.0 |
| improving-few-shot-visual-classification-with | 80.6 |
| improved-few-shot-visual-classification | 78.5 |
| prototypical-networks-for-few-shot-learning | 58.3 |
| model-agnostic-meta-learning-for-fast | 54.7 |
| improving-few-shot-visual-classification-with | 72.5 |
| on-first-order-meta-learning-algorithms | 48.0 |
| prototypical-networks-for-few-shot-learning | 57.8 |