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SotA/Methodology/Incremental Learning/ImageNet100 - 10 steps

Incremental Learning on ImageNet100 - 10 steps

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#Model↕# M Params▼AugmentationsPaperDate↕Code
1TCIL116.54NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
2DER w/o Pruning112.27NoDER: Dynamically Expandable Representation for C...2021-03-31Code
3TCIL-Lite26.36NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
4WA11.22NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
5BiC11.22NoLarge Scale Incremental Learning2019-05-30Code
6E2E11.22NoEnd-to-End Incremental Learning2018-07-25Code
7iCaRL11.22NoiCaRL: Incremental Classifier and Representation...2016-11-23Code
8DyTox11.01NoDyTox: Transformers for Continual Learning with ...2021-11-22Code