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Papers Benchmarks Datasets Tasks

Image Classification research benchmarks – Page 225 · SOTA2 Research

Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

ModelNet40 Unseen

85.37Top-1 Accuracy

7

Feb 26, 2026

ModelNet40 (Seen)

89.45Top-1 Accuracy

7

Feb 26, 2026

DeepFashion In-Shop (Unseen)

75.29Top-1 Acc

7

Feb 26, 2026

DeepFashion In-Shop (Seen)

81.46Top-1 Accuracy

7

Feb 26, 2026

ImageNet-1K 0.2% labels 1.0

DebiasPL w/ CLIP (multi-views)

69.6Top-1 Acc

7

Feb 26, 2026

0.982Accuracy

7

Feb 26, 2026

ImageNet-1k 50% annotated (train)

71.36Accuracy

7

Feb 26, 2026

ImageNet-1k 5% annotated (train)

36.01Accuracy

7

Feb 26, 2026

86.8Accuracy

7

Feb 26, 2026

EMNIST Bymerge (test)

91.8Top-1 Accuracy

7

Feb 26, 2026

EMNIST Byclass (test)

88.43Top-1 Acc

7

Feb 26, 2026

CIFAR100 IM=200 LT (test)

46.9Top-1 Acc

7

Feb 26, 2026

CIFAR-100 20% symmetric label noise

C2D (DivideMix with SimCLR)

81.6Peak Accuracy

7

Feb 26, 2026

Waterbird modified (test)

15.13Balanced Error

7

Feb 26, 2026

55Top-1 Acc (1%)

7

Feb 26, 2026

CIFAR-100 (test)

Stateful ODE-Net (c2)

79.1Average Score

7

Feb 26, 2026

95.54Accuracy

7

Feb 26, 2026

95.35Accuracy

7

Feb 26, 2026

94.66Accuracy

7

Feb 26, 2026

ILSVRC12 first 50 classes 1.0 (val)

75.5Top-1 Acc

7

Feb 26, 2026

WebVision mini first 50 classes v1 (val)

79.28Top-1 Accuracy

7

Feb 26, 2026

Tiny-Imagenet ε = 36/255 (test)

37.4Clean Accuracy

7

Feb 26, 2026

CIFAR-10 OOD DEEPNETS-1M (test)

88.9Accuracy (WIDE)

7

Feb 26, 2026

CIFAR-10 ID-TEST DEEPNETS-1M (test)

0.885Avg Accuracy

7

Feb 26, 2026

CIFAR-100 (test)

16.28Error Rate

7

Feb 26, 2026

Page 225 of 333

Popular datasets

CIFAR ImageNet MNIST CIFAR-10 CIFAR-100

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