Incremental Learning On Cifar 100 B0 5Steps
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 |
|---|---|---|---|
| BiC | 73.10 | Large Scale Incremental Learning | - |
| PODNet | 66.70 | PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning | - |
| WA | 72.81 | Maintaining Discrimination and Fairness in Class Incremental Learning | - |
| iCaRL | 71.14 | iCaRL: Incremental Classifier and Representation Learning | - |
| UCIR | 62.77 | Learning a Unified Classifier Incrementally via Rebalancing | |
| TCIL | 77.72 | Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning | - |
| RPSNet | 70.50 | An Adaptive Random Path Selection Approach for Incremental Learning | - |
| DER(w/o P) | 76.80 | DER: Dynamically Expandable Representation for Class Incremental Learning | - |
| TCIL-Lite | 76.96 | Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning | - |
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