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Base-to-New Generalization research benchmarks – Page 2 · SOTA2 Research

Base-to-New Generalization

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

91Base Accuracy

8

Feb 26, 2026

96.4Base Score

8

Feb 26, 2026

97.5Base Set Score

8

Feb 26, 2026

Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 16-shot

0.826Base Performance

8

Feb 26, 2026

Average of 11 datasets (ImageNet, Caltech, OxfordPets, StanfordCars, Flowers, Food101, FGVCAircraft, EuroSAT, UCF101, DTD, SUN397) 8-shot

80.73Base Score

8

Feb 26, 2026

Average of 11 datasets (New split)

62.51Acc

5

May 26, 2026

Average of 11 datasets (Base)

78.77Accuracy

5

May 26, 2026

80.17Base Performance

5

Feb 26, 2026

11 datasets average (test)

6Training Time (ms/img)

4

Feb 26, 2026

ImageNet (test)

MaPLe + CC-CDFSL

75.59Accuracy (Base Classes)

2

Mar 19, 2026

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MedMnist ImageNet DTD Caltech Average

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