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Image Classification research benchmarks – Page 68 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Tiny-ImageNet heterogeneous (test)

54.25Accuracy

24

Feb 26, 2026

Tiny-ImageNet homogeneous (test)

53.69Test Accuracy

24

Feb 26, 2026

31.8Accuracy

24

Apr 24, 2026

OfficeHome TotalHeavyTail setting (test)

49Avg Accuracy

24

Feb 26, 2026

PACS TotalHeavyTail setting (test)

0.764Overall Accuracy

24

Feb 26, 2026

VLCS TotalHeavyTail setting (test)

75.6Average Accuracy

24

Feb 26, 2026

PACS GINIDG setting (test)

0.857Accuracy (Overall)

24

Feb 26, 2026

VLCS GINIDG setting (test)

78Average Accuracy

24

Feb 26, 2026

55.7Average Accuracy

24

Feb 26, 2026

61.6Average Accuracy

24

Feb 26, 2026

16 single-label datasets Aggregate

64.45Average Score

24

Feb 27, 2026

Target Classes Forget Set (test)

97.1BF

24

Feb 27, 2026

87.18Accuracy

24

Jun 11, 2026

90.2Accuracy

24

May 15, 2026

82.89Top-1 Acc

24

Feb 26, 2026

79.74Top-1 Accuracy

24

Mar 4, 2026

MedUnifier (w TIG)

91.7AUROC

24

Feb 26, 2026

68.33Accuracy

24

Feb 26, 2026

99.93Accuracy

24

Feb 26, 2026

LADA-Sculpture (OOD)

82.05Accuracy

24

Feb 26, 2026

LADA-Sculpture (ID)

98.27Accuracy

24

Feb 26, 2026

AwA2 clipart (OOD)

90.26Accuracy

24

Feb 26, 2026

AwA2 clipart (ID)

97.26Accuracy

24

Feb 26, 2026

CUB-Painting (OOD)

61.4Accuracy

24

Feb 26, 2026

CUB Painting (ID)

82.34Accuracy

24

Feb 26, 2026

Page 68 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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