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SotA/Methodology/Generalized Few-Shot Learning/CIFAR-10-LT (ρ=50)

Generalized Few-Shot Learning on CIFAR-10-LT (ρ=50)

Metric: Error Rate (lower is better)

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#Model↕Error Rate▲AugmentationsPaperDate↕Code
1GLMC + SAM8.44NoEscaping Saddle Points for Effective Generalizat...2022-12-28Code
2SURE(ResNet-32)9.78NoSURE: SUrvey REcipes for building reliable and r...2024-03-01Code
3DeiT-LT10.2NoDeiT-LT Distillation Strikes Back for Vision Tra...2024-04-03Code
4OPeN (WideResNet-28-10)10.8NoPure Noise to the Rescue of Insufficient Data: I...2021-12-16Code
5MDCS11.7NoMDCS: More Diverse Experts with Consistency Self...2023-08-19Code
6ConCutMix12NoEnhanced Long-Tailed Recognition with Contrastiv...2024-07-06Code
7NCL(ResNet32)13.2NoNested Collaborative Learning for Long-Tailed Vi...2022-03-29Code
8MetaSAug-LDAM15.66NoMetaSAug: Meta Semantic Augmentation for Long-Ta...2021-03-23Code