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SotA/Methodology/Incremental Learning/ImageNet - 10 steps

Incremental Learning on ImageNet - 10 steps

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1kNN-CLIP85.5YesRevisiting a kNN-based Image Classification Syst...2022-04-03-
2DyTox71.29NoDyTox: Transformers for Continual Learning with ...2021-11-22Code
3DER w/o Pruning68.84NoDER: Dynamically Expandable Representation for C...2021-03-31Code
4FOSTER68.34NoFOSTER: Feature Boosting and Compression for Cla...2022-04-10Code
5RMM (ResNet-18)67.45NoRMM: Reinforced Memory Management for Class-Incr...2023-01-14Code
6DER66.73NoDER: Dynamically Expandable Representation for C...2021-03-31Code
7WA65.67NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
8iCaRL38.4NoiCaRL: Incremental Classifier and Representation...2016-11-23Code