| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| 7 scenarios (ImageNet-C, ImageNet-V2, ImageNet-VID, LaSOT subset from TAO) (test) | LAME | Accuracy71.22 | 38 | 1mo ago | |
| ImageNet-C level 5 (5k) | IMSE | Accuracy (Gaussian Noise)61.9 | 32 | 1mo ago | |
| CIFAR100-C | Source | Acc (Gauss.)73 | 14 | 1mo ago | |
| ImageNet-C | TeSLA-s+SC | Avg Error Rate50.9 | 10 | 1mo ago | |
| CIFAR100-C | TeSLA-s+SC | Avg Error Rate37 | 10 | 1mo ago | |
| CIFAR10-C | TeSLA-s+SC | Avg Error Rate11.7 | 10 | 1mo ago | |
| ImageNet-C (test) | ZeroSiam | Accuracy64.5 | 9 | 1mo ago | |
| CIFAR-100-C 20 rounds, severity 5 | TRIBE | Error Rate (Round 1)33.8 | 7 | 25d ago | |
| ImageNet-C level 5 (test) | ZOTTA | Accuracy66.6 | 7 | 1mo ago | |
| ImageNet-Sketch | FOZO | Top-1 Accuracy50.5 | 6 | 1mo ago | |
| ImageNet-R | FOZO | Top-1 Accuracy64.1 | 6 | 1mo ago | |
| Office-Home | ProDe-V | Accuracy76.5 | 6 | 1mo ago | |
| ImageNet-3DCC 50k severity level 5 (test) | TENT | Bit Error1.2 | 5 | 1mo ago | |
| DomainNet | SAR | Accuracy (R → C)69.64 | 5 | 1mo ago |
