Incremental Learning On Imagenet 100 50 2
Metrics
Average Incremental Accuracy
Results
Performance results of various models on this benchmark
Model Name | Average Incremental Accuracy | Paper Title | Repository |
|---|---|---|---|
| RMM (ResNet-18) | 78.47 | RMM: Reinforced Memory Management for Class-Incremental Learning | |
| PODNet | 73.14 | PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning | |
| FOSTER | 77.54 | FOSTER: Feature Boosting and Compression for Class-Incremental Learning | |
| DER | 77.73 | DER: Dynamically Expandable Representation for Class Incremental Learning | |
| CCIL-SD | 76.77 | Essentials for Class Incremental Learning |
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