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SotA/Methodology/Incremental Learning/ImageNet - 10 steps

Incremental Learning on ImageNet - 10 steps

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

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#Model↕Final Accuracy Top-5▼AugmentationsPaperDate↕Code
1DyTox84.49NoDyTox: Transformers for Continual Learning with ...2021-11-22Code
2DER w/o Pruning82.86NoDER: Dynamically Expandable Representation for C...2021-03-31Code
3DER81.89NoDER: Dynamically Expandable Representation for C...2021-03-31Code
4WA81.1NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
5BiC73.2NoLarge Scale Incremental Learning2019-05-30Code
6E2E52.29NoEnd-to-End Incremental Learning2018-07-25Code
7iCaRL44NoiCaRL: Incremental Classifier and Representation...2016-11-23Code