Few Shot Image Classification On Mini 4
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| PT+MAP | 90.03 | Leveraging the Feature Distribution in Transfer-based Few-Shot Learning | |
| ResNet-34 (Isotropic Gaussian) | 78.5 | Discriminative k-shot learning using probabilistic models | - |
| AM3-TADAM | 81.57 | Adaptive Cross-Modal Few-Shot Learning | |
| Prototypical Networks | 74.3 | Prototypical Networks for Few-shot Learning | |
| TADAM | 80.8 | TADAM: Task dependent adaptive metric for improved few-shot learning |
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