| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ImageNet 100 | SpectralGCD | All Accuracy93.4 | 208 | 26d ago | |
| CIFAR-100 | FlipClass | Accuracy (All)91.7 | 185 | 26d ago | |
| Stanford Cars | ZS CLIP H/14 | Accuracy (All)91.1 | 160 | 26d ago | |
| CUB | Hyp-SelEx | Accuracy (All)90.7 | 133 | 26d ago | |
| FGVC-Aircraft | Hyp-SelEx | Accuracy (All)83.4 | 105 | 26d ago | |
| CIFAR-10 | FlipClass | All Accuracy99 | 105 | 1mo ago | |
| Herbarium19 | SimGCD-CLIP + AL-GCD | Score (All Categories)50.3 | 71 | 26d ago | |
| CUB-200 (test) | FlipClass | Overall Accuracy79.3 | 63 | 1mo ago | |
| Oxford Pets | SSR2-GCD | Accuracy (All)95.7 | 50 | 1mo ago | |
| Aircraft (test) | FlipClass | Accuracy (All)71.1 | 38 | 1mo ago | |
| Herbarium19 (test) | FlipClass | Score (All Categories)46.3 | 37 | 1mo ago | |
| CIFAR-100 (test) | VLM-NCD | Accuracy (All)0.852 | 22 | 1mo ago | |
| ImageNet-100 (test) | SIEFormer | Accuracy (All)86.5 | 21 | 1mo ago | |
| ImageNet 1k | SSR2-GCD | Accuracy (All)66.7 | 19 | 1mo ago | |
| Semantic Shift Benchmark (SSB) | FlipClass | Average76.1 | 17 | 1mo ago | |
| DomainNet | CDAD-Net (DA) [Upper bound] | Accuracy (All)70.28 | 16 | 1mo ago | |
| Office-Home | CDAD-Net (DA) [Upper bound] | All Accuracy67.55 | 16 | 1mo ago | |
| PACS | CDAD-Net (DA) [Upper bound] | Overall Accuracy83.25 | 16 | 1mo ago | |
| Stanford Cars (test) | SIEFormer | Accuracy (All Classes)60.1 | 15 | 1mo ago | |
| FGVC-Aircraft (test) | SIEFormer | Accuracy (All)59.4 | 14 | 1mo ago | |
| CIFAR-10 (test) | PromptCAL | Accuracy (Cluster, All)97.9 | 13 | 1mo ago | |
| All Datasets Avg | SelEx + AL-GCD | Overall Accuracy75.1 | 12 | 26d ago | |
| Fine-grained Avg | SelEx + AL-GCD | Overall Accuracy76.6 | 12 | 26d ago | |
| Clevr-4 (Known) | OAK | Texture Acc82.3 | 11 | 1mo ago | |
| Classification Avg | SimGCD + AL-GCD | Overall Accuracy88.7 | 10 | 26d ago |
