| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| tieredImageNet (test) | MPA | Accuracy98.79 | 282 | 1mo ago | |
| Mini-ImageNet | P>M>F | 1-shot Acc95.3 | 178 | 19d ago | |
| CUB (test) | MetaQDA | Accuracy97.4 | 145 | 1mo ago | |
| miniImageNet standard (test) | EfficientFSL | 5-way 1-shot Acc98.34 | 138 | 1mo ago | |
| miniImagenet (test) | Meta DeepBDC | Accuracy84.46 | 120 | 1mo ago | |
| mini-ImageNet (test) | Units-NTS | Accuracy92.18 | 113 | 1mo ago | |
| Omniglot (test) | ProtoNets | Accuracy99.58 | 109 | 1mo ago | |
| ModelNet40 10-way 20-shot | CSCon | Accuracy96.5 | 105 | 23d ago | |
| ModelNet40 10-way 10-shot | ReCon | Accuracy95.2 | 105 | 23d ago | |
| EuroSAT | Accuracy92.37 | 98 | 1mo ago | ||
| miniImageNet | P>M>F | 5-way 5-shot Accuracy98.4 | 98 | 16d ago | |
| CUB | MCL-Katz | Accuracy93.18 | 96 | 1mo ago | |
| ModelNet40 5-way 20-shot | CSCon | Accuracy99.4 | 90 | 1mo ago | |
| ModelNet40 5-way 10-shot | DAP-MAE | Accuracy97.5 | 90 | 1mo ago | |
| Mini-Imagenet 5-way 5-shot | PMF | Accuracy98 | 87 | 1mo ago | |
| mini-ImageNet → CUB (test) | FCAM | Accuracy (5-shot)80.92 | 82 | 16d ago | |
| Mini-ImageNet 1-shot 5-way (test) | PTMAP-SF-SOTp | Accuracy85.59 | 82 | 1mo ago | |
| MiniImageNet 5-way 10-shot (test) | Oracle | Accuracy71.78 | 69 | 1mo ago | |
| ModelNet40 (test) | MaskFeat3D | Mean Accuracy98.4 | 68 | 1mo ago | |
| CUB-200 2011 (test) | FRN+ + TDM | 5-way 1-shot Acc84.36 | 68 | 16d ago | |
| Places | Accuracy84.41 | 67 | 1mo ago | ||
| CIFAR-FS | PT-MAP | Accuracy (5-way 1-shot)87.7 | 58 | 1mo ago | |
| NWPU | DN4 | Accuracy93.25 | 54 | 1mo ago | |
| UCM | AMC-MetaNet | Accuracy89.85 | 54 | 1mo ago | |
| CIFAR-FS (test) | MPA | Mean Accuracy97.64 | 51 | 1mo ago |
