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Models/SESEMI SSL (ConvNet)

SESEMI SSL (ConvNet)

Reported on 14 benchmarks across 2 tasks · 1 paper

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

Computer Vision14 results

Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2019-06-25
11.65
best: 3.96 (SimMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image ClassificationonCIFAR-10, 2000 Labels
Accuracy· 2019-06-25
85.78
best: 92.97 (MixMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image ClassificationonSVHN, 500 Labels
Accuracy· 2019-06-25
93.5
best: 96.39 (Triple-GAN-V2 (CNN-13))
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image ClassificationonCIFAR-10, 1000 Labels
Accuracy· 2019-06-25
82.12
best: 92.25 (MixMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image Classificationoncifar-100, 10000 Labels
Percentage error· 2019-06-25
38.7
best: 19.32 (CCSSL(FixMatch))
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image ClassificationonSVHN, 1000 labels
Accuracy· 2019-06-25
94.41
best: 97.58 (EnAET)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Image ClassificationonSVHN, 250 Labels
Accuracy· 2019-06-25
91.68
best: 98.04 (ShrinkMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2019-06-25
11.65
best: 3.96 (SimMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonCIFAR-10, 2000 Labels
Accuracy· 2019-06-25
85.78
best: 92.97 (MixMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonSVHN, 500 Labels
Accuracy· 2019-06-25
93.5
best: 96.39 (Triple-GAN-V2 (CNN-13))
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonCIFAR-10, 1000 Labels
Accuracy· 2019-06-25
82.12
best: 92.25 (MixMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image Classificationoncifar-100, 10000 Labels
Percentage error· 2019-06-25
38.7
best: 19.32 (CCSSL(FixMatch))
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonSVHN, 1000 labels
Accuracy· 2019-06-25
94.41
best: 97.58 (EnAET)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343
Semi-Supervised Image ClassificationonSVHN, 250 Labels
Accuracy· 2019-06-25
91.68
best: 98.04 (ShrinkMatch)
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning arXiv:1906.10343