Image Classification on FGSM (test)
97.79AccuracyrSDNet
Evaluation Results
| Method | Links | |
|---|---|---|
| rSDNetbeta=0.3, lambda=0.52026.03 | 97.79 | |
| CCELoss Function=CCE2026.03 | 97.76 | |
| rSDNetbeta=0.1, lambda=-0.32026.03 | 97.75 | |
| FCLLoss Function=FCL, mu=02026.03 | 97.73 | |
| rSDNetbeta=0.1, lambda=02026.03 | 97.68 | |
| SCELoss Function=SCE, alpha=0.5, beta=12026.03 | 97.65 | |
| rSDNetbeta=0.9, lambda=-0.32026.03 | 97.64 | |
| rSDNetbeta=0.3, lambda=-0.32026.03 | 97.63 | |
| rSDNetbeta=0.3, lambda=02026.03 | 97.63 | |
| rSDNetbeta=0.7, lambda=02026.03 | 97.6 | |
| rSDNetbeta=0.5, lambda=-0.52026.03 | 97.59 | |
| rSDNetbeta=0.5, lambda=-0.32026.03 | 97.57 | |
| rSDNetbeta=0.9, lambda=0.52026.03 | 97.57 | |
| rSDNetbeta=0.3, lambda=-0.52026.03 | 97.56 | |
| rSDNetbeta=1, lambda=02026.03 | 97.55 | |
| rSDNetbeta=0.5, lambda=0.52026.03 | 97.55 | |
| rSDNetbeta=0.7, lambda=0.52026.03 | 97.55 | |
| rSDNetbeta=0.7, lambda=-12026.03 | 97.53 | |
| rSDNetbeta=0.5, lambda=-0.72026.03 | 97.53 | |
| rSDNetbeta=0.9, lambda=-0.52026.03 | 97.53 | |
| rSDNetbeta=0.9, lambda=-12026.03 | 97.52 | |
| rSDNetbeta=0.7, lambda=-0.52026.03 | 97.51 | |
| rSDNetbeta=0.1, lambda=-0.72026.03 | 97.5 | |
| rSDNetbeta=0.5, lambda=-12026.03 | 97.49 | |
| rSDNetbeta=0.1, lambda=-0.52026.03 | 97.49 | |
| rSDNetbeta=0.7, lambda=-0.32026.03 | 97.49 | |
| rSDNetbeta=0.7, lambda=-0.72026.03 | 97.48 | |
| rSDNetbeta=0.9, lambda=-0.72026.03 | 97.47 | |
| rSDNetbeta=0.1, lambda=0.52026.03 | 97.47 | |
| GCELoss Function=GCE, q=0.72026.03 | 97.45 | |
| MAELoss Function=MAE2026.03 | 97.44 | |
| rSDNetbeta=0.3, lambda=-12026.03 | 97.43 | |
| rSDNetbeta=0.5, lambda=02026.03 | 97.41 | |
| rSDNetbeta=0.3, lambda=-0.72026.03 | 97.38 | |
| FCLLoss Function=FCL, mu=0.252026.03 | 97.33 | |
| GCELoss Function=GCE, q=0.52026.03 | 97.3 | |
| rSDNetbeta=0.1, lambda=-12026.03 | 97.26 | |
| TCCELoss Function=TCCE, alpha=0.12026.03 | 93.83 | |
| TCCELoss Function=TCCE, alpha=0.22026.03 | 91.17 | |
| TCCELoss Function=TCCE, alpha=0.32026.03 | 84.21 | |
| HMixBackbone=ResNet-502022.08 | 34.98 | |
| CutMixBackbone=ResNet-502022.08 | 33.63 | |
| GMixBackbone=ResNet-502022.08 | 31.02 | |
| MixupBackbone=ResNet-502022.08 | 27.78 | |
| FCLLoss Function=FCL, mu=0.752026.03 | 10.03 | |
| FCLLoss Function=FCL, mu=0.52026.03 | 9.99 | |
| Vanilla (no MDSA)Backbone=ResNet-502022.08 | 8.55 |