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Long-tail Image Classification research benchmarks · SOTA2 Research

Long-tail Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

iNaturalist 2018 (test)

88.3Accuracy (Few)

59

Feb 26, 2026

CIFAR100-LT imbalance ratio 100 (test)

80.3Accuracy

32

Feb 27, 2026

52.2Overall Accuracy

15

Feb 26, 2026

iNaturalist SADE's Setting 2018 (test)

72.53Forward-LT 3

9

Feb 26, 2026

CIFAR-100 LT IR 50 (val)

59.6Accuracy

5

Feb 26, 2026

CIFAR-100-LT IR 100 (val)

54.8Accuracy

5

Feb 26, 2026

TinyImgNet long-tail (imbalance ratio 83) (test)

LA with class priors

35Avg Recall

5

Feb 26, 2026

CIFAR-100 long-tail (imbalance ratio 100) (test)

LA with class priors

48.9Average Recall

5

Feb 26, 2026

CIFAR-10-LT rho=100 (test)

94.41Precision

4

Feb 26, 2026

Popular datasets

CIFAR iNaturalist CIFAR-100 Places CIFAR100

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