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Models/StyleAdv-FT

StyleAdv-FT

Reported on 24 benchmarks across 3 tasks · 1 paper · 24 SOTA

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

Methodology16 results

Few-Shot LearningonChestX
5 shot· 2023-02-18
26.24
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonPlantae
5 shot· 2023-02-18
64.1
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot Learningoncars
5 shot· 2023-02-18
56.44
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonEuroSAT
5 shot· 2023-02-18
91.64
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonCUB
5 shot· 2023-02-18
70.9
best: 71.59 (MSENet)
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonISIC2018
5 shot· 2023-02-18
53.05
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonPlaces
5 shot· 2023-02-18
79.35
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Few-Shot LearningonCropDisease
5 shot· 2023-02-18
96.51
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonChestX
5 shot· 2023-02-18
26.24
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonPlantae
5 shot· 2023-02-18
64.1
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-Learningoncars
5 shot· 2023-02-18
56.44
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonEuroSAT
5 shot· 2023-02-18
91.64
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonCUB
5 shot· 2023-02-18
70.9
best: 71.59 (MSENet)
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonISIC2018
5 shot· 2023-02-18
53.05
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonPlaces
5 shot· 2023-02-18
79.35
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Meta-LearningonCropDisease
5 shot· 2023-02-18
96.51
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309

Computer Vision8 results

Cross-Domain Few-ShotonChestX
5 shot· 2023-02-18
26.24
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonPlantae
5 shot· 2023-02-18
64.1
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-Shotoncars
5 shot· 2023-02-18
56.44
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonEuroSAT
5 shot· 2023-02-18
91.64
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonCUB
5 shot· 2023-02-18
70.9
best: 71.59 (MSENet)
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonISIC2018
5 shot· 2023-02-18
53.05
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonPlaces
5 shot· 2023-02-18
79.35
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309
Cross-Domain Few-ShotonCropDisease
5 shot· 2023-02-18
96.51
SOTA
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning arXiv:2302.09309