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SotA/Methodology/Few-Shot Learning/ISIC2018

Few-Shot Learning on ISIC2018

Metric: 5 shot (higher is better)

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#Model↕5 shot▼AugmentationsPaperDate↕Code
1StyleAdv-FT53.05NoStyleAdv: Meta Style Adversarial Training for Cr...2023-02-18Code
2ATA-FT49.79NoCross-Domain Few-Shot Classification via Adversa...2021-04-29Code
3BSCD-FSL48.11NoA Broader Study of Cross-Domain Few-Shot Learning2019-12-16Code
4RFS+MLP46.33NoImproving Cross-domain Few-shot Classification w...2023-12-15Code
5AFA46.01NoAdversarial Feature Augmentation for Cross-domai...2022-08-23Code
6StyleAdv45.77NoStyleAdv: Meta Style Adversarial Training for Cr...2023-02-18Code
7wave-SAN44.93NoWave-SAN: Wavelet based Style Augmentation Netwo...2022-03-15Code
8ATA44.91NoCross-Domain Few-Shot Classification via Adversa...2021-04-29Code
9LRP44.14NoExplanation-Guided Training for Cross-Domain Few...2020-07-17Code
10GNN43.94NoFew-Shot Learning with Graph Neural Networks2017-11-10Code
11FWT43.17NoCross-Domain Few-Shot Classification via Learned...2020-01-23Code