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SotA/Methodology/Continual Learning/Stanford Cars (Fine-grained 6 Tasks)

Continual Learning on Stanford Cars (Fine-grained 6 Tasks)

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1CPG92.8NoCompacting, Picking and Growing for Unforgetting...2019-10-15Code
2CondConvContinual92.61No--Code
3H$^{2}$90.6No--Code
4Piggyback89.62NoPiggyback: Adapting a Single Network to Multiple...2018-01-19Code
5ProgressiveNet89.21NoProgressive Neural Networks2016-06-15Code
6PackNet86.11NoPackNet: Adding Multiple Tasks to a Single Netwo...2017-11-15Code