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Papers Benchmarks Datasets Tasks

Knowledge Distillation research benchmarks · SOTA2 Research

Knowledge Distillation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Oxford Flowers 102 (test)

97.25Accuracy

60

Jul 8, 2026

CIFAR-100 (val)

77.78Top-1 Accuracy

45

Jun 18, 2026

CIFAR-10 (test)

95.7Accuracy

33

Jul 8, 2026

CIFAR-100 (test)

80.86Top-1 Accuracy

29

Feb 26, 2026

Food-101 (test)

35.8Accuracy (k=1)

15

Jul 8, 2026

CIFAR-100 + Tiny-ImageNet

0.855Accuracy

12

Feb 26, 2026

CIFAR-10 + Tiny-ImageNet

94.7Accuracy

12

Feb 26, 2026

CIFAR-10 + CIFAR-100

94Accuracy

12

Feb 26, 2026

MNIST + FASHION-MNIST

98.48Accuracy

12

Feb 26, 2026

71.72Accuracy

12

Feb 26, 2026

94.07Accuracy

12

Feb 26, 2026

1,200Raw KL Divergence

5

Apr 7, 2026

Popular datasets

CIFAR CIFAR + ImageNet Oxford Flowers Food-101 The Pile

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