Incremental Learning On Imagenet 100 50 3
评估指标
Average Incremental Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Average Incremental Accuracy | Paper Title | Repository |
|---|---|---|---|
| iCaRL* | 65.56 | iCaRL: Incremental Classifier and Representation Learning | |
| PODNet | 75.82 | PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning | |
| CCIL-SD | 79.44 | Essentials for Class Incremental Learning | |
| RMM (ResNet-18) | 79.52 | RMM: Reinforced Memory Management for Class-Incremental Learning | |
| FOSTER | 80.22 | FOSTER: Feature Boosting and Compression for Class-Incremental Learning |
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