Incremental Learning On Imagenet 100 50 1
Metrics
Average Incremental Accuracy
Results
Performance results of various models on this benchmark
Model Name | Average Incremental Accuracy | Paper Title | Repository |
|---|---|---|---|
| PODNet | 67.28 | PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning | |
| RMM (ResNet-18) | 76.54 | RMM: Reinforced Memory Management for Class-Incremental Learning | |
| FOSTER | 69.34 | FOSTER: Feature Boosting and Compression for Class-Incremental Learning |
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