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Image Classification research benchmarks – Page 60 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR10 Dirichlet-0.6 (test)

1,000Communication Rounds

27

Apr 21, 2026

Simple Averaging w/ E-PMQ

74.03Top-1 Accuracy

27

May 19, 2026

Baseline CLIP (ViT-L/14)

70.8Macro F1

27

Mar 16, 2026

8-task benchmark (test)

94.2Average Absolute Accuracy

27

Mar 9, 2026

0.73Top-1 Accuracy (Delta %)

27

Feb 26, 2026

82.44Top-1 Accuracy

27

Feb 26, 2026

CIFAR-100-LT (IF=200)

GLMC + Loss + LR

52.4Top-1 Acc

27

May 12, 2026

CIFAR10-DVS Binary-grid

81.3Accuracy

27

Feb 26, 2026

ImageNet 16 (test)

77.2Top-1 Acc

27

Feb 26, 2026

Tiny ImageNet 64x64 (test)

29.6Accuracy

27

Feb 26, 2026

96.8Base Accuracy

27

May 8, 2026

AdaViT (Random)

3.85GFLOPS

27

Feb 26, 2026

CIFAR-100 (test)

73.21Top-1 Accuracy

27

Feb 26, 2026

CINIC-10 under sudden drift and Dir(0.1) 1.0 (test)

46.02Generalized Accuracy

27

Feb 26, 2026

ImageNet 40 classes

94.94Accuracy

27

Feb 26, 2026

97.1Accuracy

27

Jun 11, 2026

FLUID streaming (test)

86.4Pretrain Head (>50) Acc

27

Feb 26, 2026

4.27Test Error

27

Feb 26, 2026

ImageNet-O (test)

68Top-1 Accuracy

27

Jun 1, 2026

CIFAR-10 40% asymmetric noise

SANM(DivideMix)

94.8Accuracy

27

Feb 26, 2026

ImageNet-Adversarial (val)

75.8Top-1 Accuracy

27

Feb 26, 2026

19.5Top-1 Test Error

27

Feb 26, 2026

77.22Accuracy

27

Mar 12, 2026

87.27Top-1 Accuracy

27

Feb 26, 2026

98.31Task-IL Accuracy

27

Feb 26, 2026

Page 60 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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