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Image Classification research benchmarks – Page 319 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

79.99RA (W-MSE)

2

Feb 26, 2026

ANIMALS10 (test)

80.39W-MSE

2

Feb 26, 2026

93.95W-MSE Score

2

Feb 26, 2026

0.891RA (%)

2

Feb 26, 2026

52.35RA

2

Feb 26, 2026

96.83Avg BA

2

Feb 26, 2026

85.41BA

2

Feb 26, 2026

0.942BA

2

Feb 26, 2026

Tiny-ImageNet ID (test)

7.8Improvement (%)

2

Feb 26, 2026

Leaf Disease and Freshness classification dataset (test)

98.96Accuracy

2

Feb 26, 2026

86.4Accuracy

2

Feb 26, 2026

70.8Accuracy

2

Feb 26, 2026

93.4Accuracy

2

Feb 26, 2026

Woman and Man Faces

0.69Misclassification Rate

2

Feb 26, 2026

34Misclassification Rate

2

Feb 26, 2026

Cats and Dogs Filtered

89Misclassification Rate

2

Feb 26, 2026

52Misclassification Rate

2

Feb 26, 2026

75.64Robust Accuracy

2

Feb 26, 2026

Mambavision-L-21K 200m

86.1Accuracy (Baseline)

2

Feb 26, 2026

CIFAR100 (test)

22.91Acc

2

Feb 26, 2026

Heterogeneous Partitioned Dataset (alpha=0.1, K=50)

35.87Accuracy

2

Feb 26, 2026

SVHN (downstream)

75.4Balanced Accuracy

2

Feb 26, 2026

VisDA-T Authorized domain

93Accuracy

2

Feb 26, 2026

CIFAR-10 IR=50 long-tail (test)

59.37Accuracy (Clean)

2

Feb 26, 2026

CIFAR-100-LT IR=100 (test)

59.56Clean Accuracy

2

Feb 26, 2026

Page 319 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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