Few Shot Image Classification On Stanford 2
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Accuracy |
|---|---|
| multi-level-metric-learning-for-few-shot | 72.43 |
| few-shot-learning-with-graph-neural-networks | 55.85 |
| matching-networks-for-one-shot-learning | 34.80 |
| prototypical-networks-for-few-shot-learning | 40.90 |
| multi-scale-adaptive-task-attention-network | 73.15 |
| revisiting-local-descriptor-based-image-to | 61.51 |