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Image Classification research benchmarks – Page 67 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

VTAB+ 1.0 (test)

38.9Top-1 Accuracy

24

Apr 15, 2026

ImageNet-1K 1.0 (test)

49.03Top-1 Accuracy

24

Apr 15, 2026

Office-Home v1 (target set)

0.98Pearson Correlation Coefficient

24

Apr 14, 2026

CIFAR-100N ResNet-18 (test)

InfoBatch + Ours

79.3Clean Accuracy

24

Apr 9, 2026

86.2Accuracy

24

Mar 31, 2026

Cassava Leaf Disease

CA-Dense-SwinV2

98.51Accuracy

24

Mar 31, 2026

CIFAR-100 (test)

63.33Accuracy (Test)

24

Mar 27, 2026

ImageNet-C JPEG Corruptions

75.4Top-1 Accuracy

24

Mar 20, 2026

ImageNet-C Gaussian Noise

65.2Top-1 Accuracy

24

Mar 20, 2026

85.22Accuracy

24

Mar 20, 2026

98.99Accuracy

24

Mar 18, 2026

82.17Accuracy

24

Mar 18, 2026

92.33Top-1 Accuracy

24

May 19, 2026

84.6Top-1 Accuracy

24

Mar 10, 2026

95.7Accuracy

24

Feb 26, 2026

CIFAR-100 (test)

75.29Accuracy

24

Feb 26, 2026

CIFAR-10 (test)

93.68Top-1 Accuracy

24

Feb 26, 2026

ImageNet-1K (val)

EfficientNet-B7

84.3Top-1 Accuracy

24

Feb 26, 2026

0.185NLL

24

Feb 26, 2026

AsynFLC-EF(top3+Q2b)

0.72Communication Cost (GB)

24

Feb 26, 2026

83.2Average Accuracy

24

May 8, 2026

76.2Accuracy

24

Feb 26, 2026

88.2Accuracy

24

Feb 26, 2026

PACS OOD (test)

82.8Accuracy

24

Feb 26, 2026

PACS ID (train)

96.7Accuracy

24

Feb 26, 2026

Page 67 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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