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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 7 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ImageNet 1k (val)

Castling-MViTv2-B

85Top-1 Acc

188

Feb 26, 2026

89.6Top-1 Accuracy

188

Feb 26, 2026

centralized learning

92.55Accuracy

185

May 25, 2026

CIFAR-10-LT (test)

LDAM-DRW + Du @5x

0.082Top-1 Error

185

Feb 26, 2026

91Accuracy

184

Feb 26, 2026

98.7Accuracy

183

May 15, 2026

93.32Accuracy

183

Jul 7, 2026

97.68H Score

182

May 26, 2026

ImageNet Real (val)

91.1Top-1 Acc

181

Feb 26, 2026

ImageNette (test)

95.3Accuracy

180

Jun 23, 2026

ImageNet ILSVRC 1000 images 2012 (val)

100Attack Success Rate

180

Feb 26, 2026

ImageNet-R (test)

80.7Accuracy

179

Jun 25, 2026

95.4Accuracy

177

May 27, 2026

98.15Accuracy

177

Mar 19, 2026

ImageWoof (val)

91.2Accuracy

177

May 19, 2026

ImageNet-A (test)

Noisy Student Training

83.7Top-1 Acc

177

Jun 25, 2026

Oxford-IIIT Pets (test)

Vision Transformer (ViT-H/14)

97.56Mean Accuracy

177

May 6, 2026

CINIC-10 (test)

ViT-L/16 + Background

95.8Accuracy

177

Mar 10, 2026

CIFAR-10 v1 (test)

98.62Accuracy

176

Jun 18, 2026

Standard Training

96.1Clean Accuracy

175

Jun 29, 2026

97.62Accuracy

173

Jun 19, 2026

Vision Multi-task Suite (SUN397, Cars, RESISC45, EuroSAT, SVHN, GTSRB, MNIST, DTD)

95.8Average Accuracy

171

Jun 30, 2026

20 Vision Classification Tasks

94.8Average Accuracy

170

Jun 23, 2026

CIFAR-10 NAS-Bench-201 (val)

93.06Accuracy

169

May 22, 2026

99.7Accuracy

168

Jun 23, 2026

Page 7 of 333

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CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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