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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 297 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

DTD PGD-l2 attack, ε=0.5 (test)

66.49Robust Accuracy

4

Feb 26, 2026

Caltech101 PGD-l2 attack, ε=0.5 (test)

89.21Robust Accuracy

4

Feb 26, 2026

VisDA C (source)

99.9Plane Accuracy

4

Feb 26, 2026

ViT-B-16 (Semantic Softmax)

76Top-1 Accuracy

4

Feb 26, 2026

Background Challenge (BGC)

ReLabel + CutMix + Extra Data

36Accuracy

4

Feb 26, 2026

ReLabel + CutMix + Extra Data

45Accuracy

4

Feb 26, 2026

74.3Min Test Accuracy

4

Feb 26, 2026

TinyImgNet long-tailed (test)

LA with class priors

35Avg Recall

4

Feb 26, 2026

CIFAR-100 long-tailed (test)

LA with class priors

0.489Average Recall

4

Feb 26, 2026

CIFAR-10 (disjoint)

52.83Accuracy

4

Feb 26, 2026

JFT 300M (test)

V-MoE-H/14, Every-2

60.62Top-1 Accuracy

4

Feb 26, 2026

ImageNet (test)

75.92Top-1 Acc

4

Feb 26, 2026

VTAB 19 tasks (test)

Vision Transformer (ViT-H/14)

77.63Accuracy

4

Feb 26, 2026

71.88Top-1 Accuracy

4

Feb 26, 2026

ImageNet ILSVRC 2012 (val)

Het. Ensemble 4x

79.5Top-1 Accuracy

4

Feb 26, 2026

ImageNet 100% labels 1k (val)

78.2Top-1 Acc

4

Feb 26, 2026

ImageNet (test)

76.15Unpruned Top-1 Acc

4

Feb 26, 2026

ImageNet (test)

17.2Params (%)

4

Feb 26, 2026

CIFAR-10 (test)

93.66Original Accuracy

4

Feb 26, 2026

AttentiveNAS-A6

80.7Top-1 Acc

4

Feb 26, 2026

Tiny-ImageNet Symmetric Noise 0.5 (test)

71.07Accuracy

4

Feb 26, 2026

STL-10 1000 labels (train)

79.8Accuracy

4

Feb 26, 2026

CIFAR-10 250 labels (train)

95.09Accuracy

4

Feb 26, 2026

CIFAR-10 80 labels (train)

93.97Accuracy

4

Feb 26, 2026

CIFAR-10 40 labels (train)

93.09Accuracy

4

Feb 26, 2026

Page 297 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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