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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 318 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNette 1% fraction (test)

65.7Accuracy

2

Mar 11, 2026

ImageNette 0.1% fraction (test)

50.5Accuracy

2

Mar 11, 2026

CIFAR-10 (test)

96.1Accuracy

2

Mar 6, 2026

ImageNet 1k masked (50 samples per class) (test)

34.93Top-5 Accuracy

2

Mar 6, 2026

74.1Clean Accuracy

2

Feb 27, 2026

ImageNetS50 (val)

Multi-Modal MAE + AtteNT

92.3Accuracy

2

Feb 26, 2026

85.8Accuracy

2

Feb 26, 2026

Tiny-ImageNet 2015

ViT + DiffusionBlocks

36.16Accuracy

2

Feb 26, 2026

0.752AUC

2

Feb 26, 2026

66.5Mean Accuracy

2

Feb 26, 2026

Linear Classifier (Fixed)

91.4Accuracy (Mean)

2

Feb 26, 2026

99.7Accuracy (Mean)

2

Feb 26, 2026

95.7Mean Accuracy

2

Feb 26, 2026

ImageNet16-120 (NATS-Bench)

38.27Accuracy

2

Feb 26, 2026

Cifar100 NATS-Bench

61.18Accuracy

2

Feb 26, 2026

Cifar10 NATS-Bench

89.16Accuracy

2

Feb 26, 2026

CIFAR-10 (test)

Federated AT with Data Sharing

68.52Accuracy (Natural)

2

Feb 26, 2026

CIFAR-10 (test)

Advanced Adversarial Training

65.41Accuracy (FGSM)

2

Feb 26, 2026

71.3Top-1 Acc

2

Feb 26, 2026

98.18Mean Accuracy

2

Feb 26, 2026

CIFAR-100 (test)

63.1Clean Accuracy

2

Feb 26, 2026

CIFAR-100 Centralized (test)

73.97Accuracy

2

Feb 26, 2026

CIFAR-10 Centralized (test)

94.98Accuracy

2

Feb 26, 2026

96.37Accuracy (Test)

2

Feb 26, 2026

CIFAR-10 (test)

97.88Accuracy

2

Feb 26, 2026

Page 318 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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