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SotA/Methodology/Incremental Learning/CIFAR-100-B0(5steps of 20 classes)

Incremental Learning on CIFAR-100-B0(5steps of 20 classes)

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1View-Batch(TCIL)79.23NoDo Your Best and Get Enough Rest for Continual L...2025-03-24Code
2TCIL77.72NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
3TCIL-Lite76.96NoResolving Task Confusion in Dynamic Expansion Ar...2022-12-29Code
4DER(w/o P)76.8NoDER: Dynamically Expandable Representation for C...2021-03-31Code
5BiC73.1NoLarge Scale Incremental Learning2019-05-30Code
6WA72.81NoMaintaining Discrimination and Fairness in Class...2019-11-16Code
7iCaRL71.14NoiCaRL: Incremental Classifier and Representation...2016-11-23Code
8RPSNet70.5NoAn Adaptive Random Path Selection Approach for I...2019-06-03Code
9PODNet66.7NoPODNet: Pooled Outputs Distillation for Small-Ta...2020-04-28Code
10UCIR62.77No--Code