ResearchBenchmarksImage Classification on CIFAR-10 (Noise Robustness Evaluation)Follow94.53Accuracy (20% Noise)NCSAM85.596487.915790.23592.5543Jan 24, 2026Evaluation ResultsMethodMethodLinksAccuracy (20% Noise)Accuracy (40% Noise)Accuracy (60% Noise)Accuracy (80% Noise)NCSAMBackbone=ResNet-18, No...Backbone=ResNet-18, Noise Type=Symmetric2026.0194.5392.658979.58BSAMBackbone=ResNet-18, No...Backbone=ResNet-18, Noise Type=Symmetric2026.0193.3485.5876.3778.27SAMBackbone=ResNet-18, No...Backbone=ResNet-18, Noise Type=Symmetric2026.0190.4479.7167.2276.94SGDBackbone=ResNet-18, No...Backbone=ResNet-18, Noise Type=Symmetric2026.0185.9470.2548.528.91