| Mini-Imagenet (test) | | Accuracy99 | | 235 | 4d ago |
| miniImageNet (test) | MPA | Accuracy99.07 | | 111 | 4d ago |
| tieredImageNet | SKD-GEN0 | Accuracy0.8666 | | 90 | 4d ago |
| tieredImagenet (test) | CAML | Accuracy98.1 | | 86 | 4d ago |
| FC100 (test) | MPA | Accuracy90.57 | | 69 | 4d ago |
| ImageNet FS (novel) | KGTN-ens | Top-5 Acc0.8256 | | 59 | 4d ago |
| mini-ImageNet K=20 (test) | PADDLE | Accuracy80 | | 56 | 4d ago |
| MiniImageNet 5-way 3-shot (test) | TraNFS-2 | Accuracy63.63 | | 46 | 4d ago |
| MiniImageNet 5-way 10-shot (test) | Spatial median prototypes | Accuracy (0% noise)73.69 | | 46 | 4d ago |
| CIFAR-FS (test) | SeedSelect | Accuracy94.87 | | 46 | 4d ago |
| miniImageNet meta (test) | NAO-centroid | Accuracy93.21 | | 46 | 4d ago |
| CropDiseases CDFSL (test) | UniSiam | Accuracy98.14 | | 45 | 4d ago |
| ImageNet FS (all) | SGM | Top-5 Acc83.6 | | 44 | 4d ago |
| tiered-ImageNet K=160 (test) | PADDLE | Accuracy0.72 | | 42 | 4d ago |
| Meta-Dataset (test) | TSP | Omniglot Accuracy97.2 | | 40 | 4d ago |
| ISIC (test) | SEAL | Accuracy55.12 | | 36 | 4d ago |
| miniImageNet Open-Ended 2-Way | LQAE (ours) | Accuracy69.8 | | 35 | 2d ago |
| tieredImageNet standard (test) | LaplacianShot | Average Accuracy87.93 | | 34 | 4d ago |
| FGVC Aircraft (test) | +HFM | Top-1 Accuracy62.1 | | 31 | 4d ago |
| all-to-all setting | CLIP-LoRA + ADK | Accuracy84 | | 31 | 2d ago |
| FC100 | BECLR | 1-shot Acc45.21 | | 31 | 4d ago |
| miniImageNet original (test) | GaussFusion (Improved EM) | 5-way 1-shot Acc79.01 | | 30 | 4d ago |
| 11 datasets average CLIP-based (ImageNet, Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101) | CLAP | Accuracy74.57 | | 30 | 4d ago |
| StanfordCars (test) | | Accuracy (1-shot)81.29 | | 29 | 4d ago |
| Aircraft (test) | TSP | Mean Accuracy91.2 | | 28 | 4d ago |
