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Robust Image Classification research benchmarks · SOTA2 Research

Robust Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Randomized Input Defense

95.32Clean Accuracy

68

May 27, 2026

85.26WGA

33

Jun 23, 2026

UrbanCars B (test)

83.6WGA

26

Jun 4, 2026

CIFAR-10-C common corruptions (test)

89.38Accuracy (Snow)

16

Jun 26, 2026

CIFAR-10 (test)

92.19Classification Accuracy

12

Feb 26, 2026

RobustBench (test)

90RA

12

Feb 26, 2026

CIFAR-100 RobustBench standard (val)

73.85Clean Accuracy

6

Feb 26, 2026

FashionMNIST (test)

11.41Error

5

Mar 17, 2026

2.51Robust Accuracy

4

Feb 27, 2026

19.15Robust Accuracy

4

Feb 27, 2026

213Robust Accuracy

4

Feb 27, 2026

16.76Robust Accuracy

4

Feb 27, 2026

15 Datasets Aggregate Zero-shot

8.65Zero-shot Robust Accuracy

4

Feb 27, 2026

6Robust Accuracy

4

Feb 27, 2026

—

—Robust Accuracy

0

Feb 27, 2026

—

—Robust Accuracy

0

Feb 27, 2026

—

—Robust Accuracy

0

Feb 27, 2026

CIFAR-10, CIFAR-100, and TinyImageNet Overall (test)

—

—Primary metric

0

Feb 26, 2026

—

—Primary metric

0

Feb 26, 2026

Popular datasets

ImageNet CIFAR DTD CIFAR-100 CIFAR-10

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