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SotA/Methodology/Incremental Learning/ImageNet-100 - 50 classes + 10 steps of 5 classes

Incremental Learning on ImageNet-100 - 50 classes + 10 steps of 5 classes

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1RMM (ResNet-18)78.47NoRMM: Reinforced Memory Management for Class-Incr...2023-01-14Code
2DER77.73NoDER: Dynamically Expandable Representation for C...2021-03-31Code
3FOSTER77.54NoFOSTER: Feature Boosting and Compression for Cla...2022-04-10Code
4CCIL-SD76.77NoEssentials for Class Incremental Learning2021-02-18Code
5PODNet73.14NoPODNet: Pooled Outputs Distillation for Small-Ta...2020-04-28Code