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SotA/Methodology/Incremental Learning/CIFAR-100 - 50 classes + 25 steps of 2 classes

Incremental Learning on CIFAR-100 - 50 classes + 25 steps of 2 classes

Metric: Average Incremental Accuracy (higher is better)

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#Model↕Average Incremental Accuracy▼AugmentationsPaperDate↕Code
1D3Former68.68NoD3Former: Debiased Dual Distilled Transformer fo...2022-07-25Code
2RMM (Modified ResNet-32)66.21NoRMM: Reinforced Memory Management for Class-Incr...2023-01-14Code
3FOSTER63.83NoFOSTER: Feature Boosting and Compression for Cla...2022-04-10Code
4PODNet60.72NoPODNet: Pooled Outputs Distillation for Small-Ta...2020-04-28Code
5BiC48.96NoLarge Scale Incremental Learning2019-05-30Code