Image Classification On Tiered Imagenet 5 Way
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| on-first-order-meta-learning-algorithms | 71.03 |
| model-agnostic-meta-learning-for-fast | 70.83 |
| edge-labeling-graph-neural-network-for-few | 80.15 |
| prototypical-networks-for-few-shot-learning | 69.57 |
| learning-to-compare-relation-network-for-few | 71.31 |
| model-agnostic-meta-learning-for-fast | 70.30 |
| on-first-order-meta-learning-algorithms | 66.47 |