Image Classification on CIFAR-100 (test) (Including VRA Metric)
55.5Clean AccuracyGloRo + EMMA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GloRo + EMMAArchitecture=LiResNet, Specification=12L512W, #Param. (M)=49, Data Augmentation=DDPM2023.01 | 55.5 | 41.5 | |
| GloRo + EMMAArchitecture=LiResNet, Specification=12L512W, #Param. (M)=492023.01 | 55.2 | 38.3 | |
| GloRo + EMMAArchitecture=LiResNet, Specification=6L128W, #Param. (M)=52023.01 | 52.1 | 36.3 | |
| LOTArchitecture=ConvNet, Specification=LipConv-20, #Param. (M)=272023.01 | 49.2 | 35.5 | |
| SOC (HH+CR)Architecture=ConvNet, Specification=LipConv-20, #Param. (M)=272023.01 | 47.8 | 34.8 | |
| SLLArchitecture=ResNet, Specification=XL, #Param. (M)=2362023.01 | 46.5 | 36.5 | |
| CayleyArchitecture=ConvNet, Specification=4C3F, #Param. (M)=32023.01 | 45.8 | 31.9 | |
| BCOPArchitecture=ConvNet, Specification=6C2F, #Param. (M)=22023.01 | 45.4 | 31.7 |