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Reported on 6 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology6 results

Continual Learningon CUB-200-2011
Last Accuracy · 2024-03-21
63.75
best: 81.19 (CoACT)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392
Continual LearningonCIFAR-100
Last Accuracy· 2024-03-21
58.75
best: 86.06 (PriViLege)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392
Continual Learningonmini-Imagenet
Last Accuracy · 2024-03-21
59.57
best: 96.24 (CoACT)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392
Class Incremental Learningon CUB-200-2011
Last Accuracy · 2024-03-21
63.75
best: 81.19 (CoACT)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392
Class Incremental LearningonCIFAR-100
Last Accuracy· 2024-03-21
58.75
best: 86.06 (PriViLege)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392
Class Incremental Learningonmini-Imagenet
Last Accuracy · 2024-03-21
59.57
best: 96.24 (CoACT)
A Bag of Tricks for Few-Shot Class-Incremental Learning arXiv:2403.14392