Image Classification on CIFAR-100 (test) (Standard Accuracy and Delta)
67.8Test Accuracym-sharpness
Evaluation results
| Method | Links | ||
|---|---|---|---|
| m-sharpnessModel Class=ConvNet, Model=RN20, # Trials=1002024.03 | 67.8 | — | |
| TwinModel Class=ConvNet, Model=RNX11, # Trials=1002024.03 | 67.7 | 0.5 | |
| TwinModel Class=ConvNet, Model=RN20, # Trials=1002024.03 | 67.6 | -0.2 | |
| m-sharpnessModel Class=ConvNet, Model=RNX11, # Trials=1002024.03 | 67.2 | — | |
| TwinModel Class=ViT, Model=CCT-2/3x2, # Trials=492024.03 | 64 | 8.6 | |
| m-sharpnessModel Class=ViT, Model=CCT-2/3x2, # Trials=492024.03 | 55.4 | — |