11 datasets
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | 11 datasets base-to-new average | Base Average Score87.55 | 81 | |
| Few-shot Image Classification | 11 datasets average CLIP-based (ImageNet, Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101) | Average Accuracy83.8 | 69 | |
| Image Classification | 11 datasets average CLIP ResNet-101 (test) | Acc82 | 18 | |
| Image Classification | 11 Datasets 1-shot | Average Accuracy74.29 | 16 | |
| Few-shot classification | 11 datasets 2-shot average | Accuracy74.5 | 14 | |
| Image Classification | 11 Datasets | Accuracy (CIFAR-10)96.2 | 5 | |
| Image Classification | 11 Datasets Average Base Class | Natural Accuracy70.52 | 4 | |
| Base-to-new generalization | 11 datasets average (test) | Training Time (ms/img)6 | 4 | |
| Few-shot classification | 11 datasets Average base-to-new generalization | Base Performance0.8472 | 3 |
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