Image Classification on STL-10 (CA, BA, ASR)
84.15Balanced Accuracy (BA)DSBA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| DSBAPre-training Dataset=Tiny-ImageNet2026.03 | 84.15 | — | 98.14 | |
| WaNetPre-training Dataset=Tiny-ImageNet2026.03 | 82.57 | — | 12.75 | |
| GhostEncoderPre-training Dataset=Tiny-ImageNet2026.03 | 81.34 | — | 51.43 | |
| CTRLPre-training Dataset=Tiny-ImageNet2026.03 | 80.14 | — | 47.18 | |
| IMPERATIVEPre-training Dataset=Tiny-ImageNet2026.03 | 77.63 | — | 79.14 | |
| DSBAPre-training Dataset=CIFAR-102026.03 | 76.52 | — | 96.76 | |
| GhostEncoderPre-training Dataset=CIFAR-102026.03 | 75.28 | — | 80.17 | |
| CTRLPre-training Dataset=CIFAR-102026.03 | 74.46 | — | 65.56 | |
| IMPERATIVEPre-training Dataset=CIFAR-102026.03 | 73.25 | — | 87.16 | |
| WaNetPre-training Dataset=CIFAR-102026.03 | 72.17 | — | 12.17 | |
| BenignPre-training Dataset=CIFAR-102026.03 | — | 77.42 | — | |
| BenignPre-training Dataset=Tiny-ImageNet2026.03 | — | 85.53 | — |