ResearchBenchmarksImage Classification on OxfordPets (Accuracy and Average Accuracy)Image Classification on OxfordPets (Accuracy and Average Accuracy)Follow86.75AccuracyVisPrompt84.118884.801985.48586.1681Apr 10, 2026Evaluation resultsMethodMethodLinksAccuracyAverage AccuracyVisPromptNoise Type=Asymmetric...Noise Type=Asymmetric Label Noise, Noise Rate=75.0%2026.0486.75—NLPromptNoise Type=Asymmetric...Noise Type=Asymmetric Label Noise, Noise Rate=25.0%2026.0484.22—GCENoise Type=Symmetric L...Noise Type=Symmetric Label Noise, Noise Rate=avg.2026.04—76.28