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Papers Benchmarks Datasets Tasks

Long-tailed recognition research benchmarks · SOTA2 Research

Long-tailed recognition

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Places-LT (test)

49.5Accuracy (Overall)

71

Feb 26, 2026

iNaturalist 2018

80.2Top-1 Accuracy

31

May 12, 2026

CIFAR100 IR100 long-tailed (test)

65.9Forward-LT IR50 Top-1 Acc

21

Feb 26, 2026

CIFAR100-LT IR50 1.0 (test)

67.2Top-1 Acc (Forward-LT IR 50)

21

Feb 26, 2026

ImageNet-LT (test)

75.5Acc (Many)

15

Feb 26, 2026

Places-LT Uniform (test)

40.9Top-1 Acc

14

Feb 26, 2026

Long-Tailed CIFAR-100 (test)

MW-Net with LDAM loss + FaMUS

46.03Top-1 Acc (IF 100)

11

Feb 26, 2026

ImageNet-LT Backward-LT (test)

57.1Top-1 Acc (IR=2)

7

Feb 26, 2026

ImageNet-LT Uniform (test)

58.8Top-1 Acc

7

Feb 26, 2026

ImageNet-LT Forward-LT (test)

69.4Top-1 Acc (IR=50)

7

Feb 26, 2026

CIFAR100 LT (Imbalance Ratio 10) long-tailed-backward (test)

62.9Top-1 Acc (Backward-LT IR=2)

7

Feb 26, 2026

CIFAR100-LT Imbalance Ratio 10 uniform (test)

63.6Top-1 Accuracy

7

Feb 26, 2026

CIFAR100-LT Imbalance Ratio 10 (test)

72Top-1 Acc (IR=50)

7

Feb 26, 2026

iNaturalist uniform 2018 (test)

72.9Top-1 Acc

7

Feb 26, 2026

Places-LT Backward (test)

40.6Top-1 Accuracy (IR 2)

7

Feb 26, 2026

Places-LT Forward (test)

46.4Top-1 Acc (IR 50)

7

Feb 26, 2026

CIFAR-100 imbalance ratio 100 (test)

51.24mAcc

5

Feb 26, 2026

CIFAR-100-LT imbalance ratio 100

PaCo + BatchFormer

52.4Accuracy (All Shots)

5

Feb 26, 2026

Popular datasets

ImageNet Places CIFAR100 CIFAR iNaturalist

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