Incremental Learning On Cifar 100 50 Classes 3
Metrics
Average Incremental Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Average Incremental Accuracy |
|---|---|
| learning-a-unified-classifier-incrementally | 63.42 |
| small-task-incremental-learning | 64.83 |
| resolving-task-confusion-in-dynamic-expansion | 74.30 |
| essentials-for-class-incremental-learning-1 | 67.17 |
| resolving-task-confusion-in-dynamic-expansion | 74.88 |
| foster-feature-boosting-and-compression-for | 69.46 |
| scalable-learning-with-incremental | - |
| learning-a-unified-classifier-incrementally | 63.12 |
| der-dynamically-expandable-representation-for | 67.60 |
| scalable-learning-with-incremental | - |
| textrm-d-3-textrm-former-debiased-dual | 72.23 |
| icarl-incremental-classifier-and | 57.17 |
| large-scale-incremental-learning-1 | 56.86 |
| der-dynamically-expandable-representation-for | 72.60 |
| rmm-reinforced-memory-management-for-class-1 | 68.86 |