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Papers Benchmarks Datasets Tasks

Long-tail recognition research benchmarks · SOTA2 Research

Long-tail recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

78.9Accuracy

36

Feb 26, 2026

CIFAR-100-LT (test)

67.75Forward-LT Accuracy 1

9

Feb 26, 2026

iNaturalist Ours Setting 2018 (test)

69.75Forward LT Accuracy 1

9

Feb 26, 2026

ImageNet-LT Overall Ours Setting (test)

61.5Mean Acc

9

Feb 26, 2026

ImageNet-LT Backward Ours Setting (test)

0.556Accuracy 1

9

Feb 26, 2026

ImageNet-LT Uniform split Ours Setting (test)

58.51Accuracy (Index 1)

9

Feb 26, 2026

ImageNet-LT Forward-LT Ours Setting (test)

70.13Accuracy (Run 1)

9

Feb 26, 2026

CIFAR-10-LT Overall

87.57Mean Accuracy

9

Feb 26, 2026

CIFAR-10-LT Backward-LT

89.39Accuracy (Metric 1)

9

Feb 26, 2026

CIFAR-10-LT Uniform

0.832Accuracy Run 1

9

Feb 26, 2026

CIFAR-10 Forward-LT

91.3Accuracy

9

Feb 26, 2026

85.6Conditional Hit@1

4

Apr 3, 2026

72.3Conditional Hit@1

4

Apr 3, 2026

45.5Conditional Hit@1

4

Apr 3, 2026

49Conditional Hit@1

4

Apr 3, 2026

83.8Accuracy

4

Feb 26, 2026

CIFAR-100 Ours Setting LT (test)

66.85Forward LT Acc 1

3

Feb 26, 2026

ImageNet-LT SADE (test)

70.09Acc (Forward-LT, 50)

3

Feb 26, 2026

ImageNet-LT (test)

70.13Forward-LT Acc (1)

3

Feb 26, 2026

Popular datasets

ImageNet CIFAR iNaturalist Places CIFAR-10

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