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Open-set Semi-Supervised Learning on CIFAR-10 (6/4 known-unknown class split)

97.2AccuracyUnMixMatch
55.18466.0927787.908Jun 2, 2023

Evaluation results

MethodLinks
UnMixMatchLabelled samples per class=4002023.0697.2—
UnMixMatchLabelled samples per class=1002023.0696.8—
UnMixMatchLabelled samples per class=502023.0695.7—
OpenMatchLabelled samples per class=4002023.0694.1—
OpenMatchLabelled samples per class=1002023.0692.9—
MTCLabelled samples per class=4002023.0691—
OpenMatchLabelled samples per class=502023.0689.6—
MTCLabelled samples per class=1002023.0686.3—
FixMatchLabelled samples per class=4002023.0683.7—
SupervisedLabelled samples per class=4002023.0680—
MTCLabelled samples per class=502023.0679.7—
FixMatchLabelled samples per class=1002023.0670.2—
SupervisedLabelled samples per class=1002023.0669.5—
SupervisedLabelled samples per class=502023.0664.3—
FixMatchLabelled samples per class=502023.0656.8—
FixMatchNo. of labeled samples=502021.05—43.2
FixMatchNo. of labeled samples=1002021.05—29.8
FixMatchNo. of labeled samples=4002021.05—16.3
Labeled OnlyNo. of labeled samples=502021.05—35.7
Labeled OnlyNo. of labeled samples=1002021.05—30.5
Labeled OnlyNo. of labeled samples=4002021.05—20
MTCNo. of labeled samples=502021.05—20.3
MTCNo. of labeled samples=1002021.05—13.7
MTCNo. of labeled samples=4002021.05—9
OpenMatchNo. of labeled samples=502021.05—10.4
OpenMatchNo. of labeled samples=1002021.05—7.1
OpenMatchNo. of labeled samples=4002021.05—5.9