Few Shot Class Incremental Learning On Cub
Metrics
Average Accuracy
Last Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average Accuracy | Last Accuracy |
|---|---|---|
| pre-trained-vision-and-language-transformers | 77.50 | 75.08 |
| a-bag-of-tricks-for-few-shot-class | - | 63.75 |
| pre-trained-vision-and-language-transformers | 79.20 | 76.43 |
| semantic-visual-guided-transformer-for-few | 78.65 | 76.17 |
| neural-collapse-inspired-feature-classifier | 67.28 | 59.44 |