Incremental Learning On Cifar100B020Step
Metrics
Average Incremental Accuracy
Results
Performance results of various models on this benchmark
Model Name | Average Incremental Accuracy | Paper Title | Repository |
|---|---|---|---|
| DER(ResNet-18) | 73.98 | DER: Dynamically Expandable Representation for Class Incremental Learning | - |
| FOSTER | 70.65 | FOSTER: Feature Boosting and Compression for Class-Incremental Learning | - |
| TCIL | 75.11 | Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning | - |
| TCIL-Lite | 75.47 | Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning | - |
0 of 4 row(s) selected.