Few Shot Class Incremental Learning On Mini
Metrics
Average Accuracy
Last Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average Accuracy | Last Accuracy |
|---|---|---|
| forward-compatible-few-shot-class-incremental | 60.70 | 50.49 |
| few-shot-class-incremental-learning | 39.64 | 24.42 |
| few-shot-incremental-learning-with | 57.74 | 47.63 |
| incremental-few-shot-learning-via-vector | 51.16 | 41.84 |
| neural-collapse-inspired-feature-classifier | 67.82 | 58.31 |
| pre-trained-vision-and-language-transformers | 95.27 | 94.10 |
| constrained-few-shot-class-incremental | 61.61 | 51.41 |
| a-bag-of-tricks-for-few-shot-class | - | 59.57 |
| semantic-visual-guided-transformer-for-few | 85.07 | 81.65 |
| overcoming-catastrophic-forgetting-in | 54.89 | 47.84 |
| few-shot-class-incremental-learning-by | 59.06 | 49.19 |