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SotA/Methodology/Incremental Learning/ImageNet100 - 10 steps

Incremental Learning on ImageNet100 - 10 steps

Metric: Final Accuracy Top-5 (higher is better)

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#Model↕Final Accuracy Top-5▼AugmentationsPaperDate↕Code
1TCIL88.84NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
2DER88.38NoDER: Dynamically Expandable Representation for C...2021-03-31Code
3DyTox87.98NoDyTox: Transformers for Continual Learning with ...2021-11-22Code
4TCIL-Lite87.94NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
5DER w/o Pruning87.52NoDER: Dynamically Expandable Representation for C...2021-03-31Code
6BiC84.4NoLarge Scale Incremental Learning2019-05-30Code
7WA84.1NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
8E2E80.29NoEnd-to-End Incremental Learning2018-07-25Code
9RPSNet74NoAn Adaptive Random Path Selection Approach for I...2019-06-03Code
10iCaRL63.8NoiCaRL: Incremental Classifier and Representation...2016-11-23Code