Generalized Few Shot Learning On Cub
Metrics
Per-Class Accuracy (2-shots)
Per-Class Accuracy (1-shot)
Per-Class Accuracy (10-shots)
Per-Class Accuracy (5-shots)
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Per-Class Accuracy (2-shots) | Per-Class Accuracy (1-shot) | Per-Class Accuracy (10-shots) | Per-Class Accuracy (5-shots) |
|---|---|---|---|---|
| learning-robust-visual-semantic-embeddings | 41.1 | 36.3 | 50.9 | 44.6 |
| generalized-zero-and-few-shot-learning-via-1 | 59.2 | 55.2 | 64.9 | 63.0 |
| generalized-zero-and-few-shot-learning-via-1 | 54.4 | 50.6 | 62.2 | 59.6 |
| generalized-zero-and-few-shot-learning-via-1 | 54.6 | 49.2 | 60.8 | 58.8 |
| better-generalized-few-shot-learning-even | 61.6 | 57.3 | 67.8 | 65.4 |