| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | PACS (test) | Average Accuracy97.51 | 279 | |
| Image Classification | PACS | Overall Average Accuracy97.99 | 270 | |
| Domain Generalization | PACS | Accuracy99.92 | 263 | |
| Domain Generalization | PACS (test) | Average Accuracy97.4 | 225 | |
| Domain Generalization | PACS (leave-one-domain-out) | Art Accuracy97.85 | 152 | |
| Image Classification | PACS | Accuracy98.47 | 130 | |
| Object Recognition | PACS (leave-one-domain-out) | Acc (Art painting)90.35 | 112 | |
| Image Classification | PACS v1 (test) | Average Accuracy87.83 | 92 | |
| Multi-class classification | PACS (test) | Accuracy (Art Painting)82.73 | 76 | |
| Image Classification | PACS (out-of-domain) | Overall Accuracy96.3 | 63 | |
| Accuracy Estimation | PACS | R20.924 | 50 | |
| Image Classification Calibration | PACS Photo | ECE0.48 | 39 | |
| Multi-source Domain Adaptation | PACS | Acc (Art Painting)98.77 | 39 | |
| Image Classification | PACS (leave-one-domain-out) | P Accuracy97.92 | 32 | |
| Domain Generalization | PACS OOD (test) | Average Accuracy97.3 | 31 | |
| Image Classification Calibration | PACS Sketch | ECE1.54 | 30 | |
| Image Classification Calibration | PACS Cartoon | ECE2.04 | 30 | |
| Image Classification Calibration | PACS Art | ECE2.12 | 30 | |
| Domain Generalization | PACS DomainBed (test) | Accuracy97.2 | 29 | |
| Out-of-Distribution Detection | PACS Open-Set DTD Food101 Caltech101 | DTD AUC99.6 | 28 | |
| Object Recognition | PACS | Performance (P)99.2 | 27 | |
| Single-source Domain Generalization | PACS (test) | Average Domain Transfer Accuracy71.64 | 26 | |
| Domain Generalization | PACS 23 (test) | Acc (Photo)97.05 | 26 | |
| Machine Unlearning | PACS Sketch (OOD) | Original Forgetting Rate100 | 24 | |
| Image Classification | PACS OOD (test) | Accuracy82.8 | 24 |