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Semi-supervised Image Classification research benchmarks – Page 2 · SOTA2 Research

Semi-supervised Image Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

CIFAR10 80 labels (0.16%) (test)

DebiasPL (w/ FixMatch)

95.2Accuracy

5

Feb 26, 2026

ImageNet 10% labeled samples (train test)

UDA+AutoDropout

91.4Top-5 Acc

5

Feb 26, 2026

CIFAR10-LT gamma=200, 3365 labels (30%) (test)

DebiasPL (w/ FixMatch)

74.1Accuracy

4

Feb 26, 2026

CIFAR10-LT gamma=100, 3726 labels (30%) (test)

DebiasPL (w/ FixMatch)

80.6Accuracy

4

Feb 26, 2026

Skip Deep Generative Model (SDGM)

0.094Test Error Rate

4

Feb 26, 2026

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ImageNet CIFAR10 CIFAR CUB CIFAR-10

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