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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 77 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Cluster-aware Upcycling

63.2Accuracy (Val)

21

Apr 16, 2026

CIFAR-10 (test)

85.54Best Accuracy

21

Apr 2, 2026

Waterbirds 100% correlation (test)

91.9Worst-group Accuracy

21

May 13, 2026

61.36Accuracy

21

Mar 17, 2026

99.4Accuracy

21

Jun 26, 2026

73.85Clean Accuracy

21

Feb 27, 2026

99.3Test Accuracy

21

Feb 27, 2026

99.98Top-1 Accuracy

21

Feb 26, 2026

CIFAR-100 (test)

0.758Accuracy

21

Feb 26, 2026

TinyImageNet (test)

62.6Accuracy

21

Feb 26, 2026

CIFAR-10 30% symmetric noise (test)

82.26Accuracy

21

Feb 26, 2026

95.1Accuracy

21

Feb 26, 2026

88.03Clean Accuracy

21

Feb 27, 2026

Average across 10 datasets

74.4Average Accuracy

21

Apr 3, 2026

WebVision mini (test)

82.6Top-1 Acc

21

Jun 5, 2026

34.16Robust Accuracy

21

Apr 23, 2026

97.27Accuracy

21

Feb 26, 2026

12 Downstream Datasets Fine-grained, Natural, Specialized (test)

72.07Accuracy (Fine-grained)

21

Feb 26, 2026

EvoAug (Learned Clustering)

83.65Accuracy

21

Apr 14, 2026

96.2Average Accuracy

21

Feb 26, 2026

95.8Average Accuracy

21

Feb 26, 2026

79.5Accuracy

21

Jun 5, 2026

CDDB-Hard (test)

91.85Accuracy

21

Feb 26, 2026

93.95Accuracy

21

Feb 26, 2026

Oxford Flowers 102 (FLW)

70.07Accuracy

21

Feb 26, 2026

Page 77 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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