ResearchBenchmarksImage Classification on CIFAR100 normal (test)Image Classification on CIFAR100 normal (test)Follow39.31AccuracyUNREAL37.677238.101138.52538.9489Mar 18, 2023Evaluation resultsMethodMethodLinksAccuracyPrecisionRecallUNREALBackbone=ResNet-32, Tr...Backbone=ResNet-32, Training Data=CIFAR100LT2023.0339.3144.3240.43ResNet-32Backbone=ResNet-32, Tr...Backbone=ResNet-32, Training Data=CIFAR100LT2023.0337.7442.1237.54