Image Classification on SVHN (Metrics: CA, BA, ASR)
72.18Balanced AccuracyDSBA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DSBAPre-training Dataset=Tiny-ImageNet2026.03 | 72.18 | — | 93.14 | |
| WaNetPre-training Dataset=Tiny-ImageNet2026.03 | 71.43 | — | 14.26 | |
| GhostEncoderPre-training Dataset=Tiny-ImageNet2026.03 | 68.42 | — | 39.47 | |
| GhostEncoderPre-training Dataset=CIFAR-102026.03 | 65.14 | — | 35.78 | |
| DSBAPre-training Dataset=CIFAR-102026.03 | 64.74 | — | 94.85 | |
| CTRLPre-training Dataset=Tiny-ImageNet2026.03 | 61.95 | — | 41.28 | |
| IMPERATIVEPre-training Dataset=Tiny-ImageNet2026.03 | 60.48 | — | 71.43 | |
| DSBAPre-training Dataset=STL-102026.03 | 60.16 | — | 95.74 | |
| IMPERATIVEPre-training Dataset=STL-102026.03 | 60.13 | — | 80.12 | |
| CTRLPre-training Dataset=CIFAR-102026.03 | 58.24 | — | 46.18 | |
| IMPERATIVEPre-training Dataset=CIFAR-102026.03 | 56.42 | — | 75.13 | |
| CTRLPre-training Dataset=STL-102026.03 | 55.78 | — | 50.17 | |
| WaNetPre-training Dataset=CIFAR-102026.03 | 55.75 | — | 13.15 | |
| WaNetPre-training Dataset=STL-102026.03 | 54.56 | — | 16.43 | |
| GhostEncoderPre-training Dataset=STL-102026.03 | 52.48 | — | 34.83 | |
| BenignPre-training Dataset=CIFAR-102026.03 | — | 65.43 | — | |
| BenignPre-training Dataset=STL-102026.03 | — | 57.46 | — | |
| BenignPre-training Dataset=Tiny-ImageNet2026.03 | — | 74.65 | — |