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11 datasets

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image Classification11 datasets base-to-new average
Base Average Score87.55
81
Few-shot Image Classification11 datasets average CLIP-based (ImageNet, Caltech101, OxfordPets, StanfordCars, Flowers102, Food101, FGVCAircraft, SUN397, DTD, EuroSAT, UCF101)
Accuracy74.57
30
Image Classification11 datasets average CLIP ResNet-101 (test)
Acc82
18
Image Classification11 Datasets
Accuracy (CIFAR-10)96.2
5
Image Classification11 Datasets Average Base Class
Natural Accuracy70.52
4
Base-to-new generalization11 datasets average (test)
Training Time (ms/img)6
4
Few-shot classification11 datasets Average base-to-new generalization
Base Performance0.8472
3
Image Classification11 Datasets 1-shot
Average Accuracy74.29
2
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