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Models/CCSSL

CCSSL

Reported on 19 benchmarks across 2 tasks · 1 paper · 19 SOTA

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

Computer Vision19 results

Image ClassificationonCIFAR-10 (40 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2022-03-04
30.89
best: 52.07 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonSVHN (40 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
50.02
best: 72.9 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonSTL-10 (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
82
best: 84.73 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonCIFAR-100 (10000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
71.12
best: 71.73 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonSVHN (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
88.6
best: 91.03 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonCIFAR-10 (4000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
88.77
best: 89.58 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonCIFAR-10 (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
67.2
best: 68.72 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonCIFAR-100 (250 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2022-03-04
56.3
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonCIFAR-100 (400 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
24.53
best: 26.13 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Image ClassificationonSVHN (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
80.39
best: 80.78 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonSVHN (40 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
50.02
best: 72.9 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonSTL-10 (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
82
best: 84.73 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonCIFAR-100 (10000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
71.12
best: 71.73 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonSVHN (1000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
88.6
best: 91.03 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonCIFAR-10 (4000 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
88.77
best: 89.58 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonCIFAR-10 (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
67.2
best: 68.72 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonCIFAR-100 (250 Labels, ImageNet-100 Unlabeled)
Accuarcy· 2022-03-04
56.3
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonCIFAR-100 (400 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
24.53
best: 26.13 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261
Semi-Supervised Image ClassificationonSVHN (250 Labels, ImageNet-100 Unlabeled)
Accuracy· 2022-03-04
80.39
best: 80.78 (UnMixMatch)
SOTA
Class-Aware Contrastive Semi-Supervised Learning arXiv:2203.02261