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Models/UnMixMatch

UnMixMatch

Reported on 25 benchmarks across 2 tasks · 1 paper · 23 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision25 results

Image ClassificationonCIFAR-10 (40 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2023-06-02
52.07
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-10, 400 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
97.2
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonSVHN (40 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
72.9
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonSTL-10 (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
84.73
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-100 (10000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
71.73
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonSVHN (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
91.03
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-10 (4000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
89.58
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-10 (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
68.72
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
96.8
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-100 (400 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
26.13
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
95.7
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonSVHN (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
80.78
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-10, 400 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
97.2
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonSVHN (40 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
72.9
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonSTL-10 (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
84.73
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-100 (10000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
71.73
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonSVHN (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
91.03
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-10 (4000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
89.58
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-10 (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
68.72
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
96.8
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-100 (400 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
26.13
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
Accuracy· 2023-06-02
95.7
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonSVHN (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2023-06-02
80.78
SOTA
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Image ClassificationonCIFAR-100 (250 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2023-06-02
54.18
best: 56.3 (CCSSL)
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222
Semi-Supervised Image ClassificationonCIFAR-100 (250 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2023-06-02
54.18
best: 56.3 (CCSSL)
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data arXiv:2306.01222