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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 327 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

29.5Accuracy

1

Feb 26, 2026

Acevedo 20 (test)

8.1Accuracy

1

Feb 26, 2026

Matek-19 (test)

96.1Accuracy

1

Feb 26, 2026

EMNIST By_Merge

WaveMix-Lite-128/16

0.918Accuracy

1

Feb 26, 2026

WaveMix-Lite-112/16

99.82Accuracy

1

Feb 26, 2026

EMNIST By Class

WaveMix-Lite-128/7

88.43Accuracy

1

Feb 26, 2026

iNAT mini (val)

61.75Accuracy

1

Feb 26, 2026

CIFAR-100 Average across label settings

FlexMatch + SemiReward

1.29Performance Gain

1

Feb 26, 2026

45.6Clean Acc

1

Feb 26, 2026

CIFAR-10 1000 labels

93.05Accuracy

1

Feb 26, 2026

ImageNet-1K @ 224x224

Heinsen Routing

86.7Top-1 Accuracy

1

Feb 26, 2026

Proposed Method

0Train Error

1

Feb 26, 2026

Proposed Method

0Train Error Rate

1

Feb 26, 2026

CIFAR-100 (test)

70.3Top-1 Accuracy (eps=1)

1

Feb 26, 2026

ImageNet-32 downsampled

32.03Top-1 Acc

1

Feb 26, 2026

Herbarium 2019 (test)

FixRes Ensemble (Herbarium)

88.845Top-1 Accuracy

1

Feb 26, 2026

CIFAR-100 Data-Free (test)

77.01Accuracy

1

Feb 26, 2026

CIFAR-100 5000 labels (test)

0.318Error Rate

1

Feb 26, 2026

CIFAR-100 1000 labels (test)

58.73Error Rate

1

Feb 26, 2026

Meta-Dataset (test)

0.598ILSVRC Accuracy

1

Feb 26, 2026

0.058Top-1 Accuracy Gain

1

Feb 26, 2026

63.25Top-1 Acc

1

Feb 26, 2026

CIFAR-10+ 4000 labels augmented (test)

10.55Error Rate

1

Feb 26, 2026

SVHN 1000 labels (val)

28.87Error Rate

1

Feb 26, 2026

—

—Primary metric

0

Jun 16, 2026

Page 327 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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