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

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

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1FOSTER80.22NoFOSTER: Feature Boosting and Compression for Cla...2022-04-10Code
2RMM (ResNet-18)79.52NoRMM: Reinforced Memory Management for Class-Incr...2023-01-14Code
3CCIL-SD79.44NoEssentials for Class Incremental Learning2021-02-18Code
4PODNet75.82NoPODNet: Pooled Outputs Distillation for Small-Ta...2020-04-28Code
5iCaRL*65.56NoiCaRL: Incremental Classifier and Representation...2016-11-23Code