Image Classification on CIFAR10 Corrupted (test)
86.5AccuracySTAMP + Hi-Vec
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| STAMP + Hi-VecBackbone=ResNet-182025.08 | 86.5 | 69.9 | 77.3 | |
| STAMPBackbone=ResNet-182025.08 | 85 | 69.4 | 76.4 | |
| SAR + Hi-VecBackbone=ResNet-182025.08 | 84.1 | 74.9 | 79.2 | |
| Tent + Hi-VecBackbone=ResNet-182025.08 | 83.9 | 75 | 79.2 | |
| SoTTABackbone=ResNet-182025.08 | 82.7 | 62.7 | 71.3 | |
| SARBackbone=ResNet-182025.08 | 82.3 | 66 | 73.2 | |
| CoTTABackbone=ResNet-182025.08 | 81.8 | 65.4 | 72.5 | |
| EATABackbone=ResNet-182025.08 | 81.5 | 67.9 | 74.1 | |
| TentBackbone=ResNet-182025.08 | 80.1 | 65.9 | 72.3 | |
| BN StatsBackbone=ResNet-182025.08 | 79.4 | 66.9 | 72.6 | |
| RoTTABackbone=ResNet-182025.08 | 79.4 | 62.4 | 69.8 | |
| MRLBackbone=ResNet-182025.08 | 71.3 | 63.8 | 66.4 | |
| OWTTTBackbone=ResNet-182025.08 | 65.9 | 63.5 | 64.4 | |
| SourceBackbone=ResNet-182025.08 | 60.6 | 61.5 | 60 |