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SotA/Methodology/Incremental Learning/ImageNet100 - 10 steps

Incremental Learning on ImageNet100 - 10 steps

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1kNN-CLIP85.1YesRevisiting a kNN-based Image Classification Syst...2022-04-03-
2RMM (ResNet-18)78.47NoRMM: Reinforced Memory Management for Class-Incr...2023-01-14Code
3FOSTER77.75NoFOSTER: Feature Boosting and Compression for Cla...2022-04-10Code
4TCIL77.66NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
5TCIL-Lite77.5NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
6DER w/o Pruning77.18NoDER: Dynamically Expandable Representation for C...2021-03-31Code
7DyTox77.15NoDyTox: Transformers for Continual Learning with ...2021-11-22Code
8DER76.12NoDER: Dynamically Expandable Representation for C...2021-03-31Code