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Models/FixMatch+CR

FixMatch+CR

Reported on 12 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Computer Vision12 results

  • Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2022-01-17
    4.16
    best: 3.96 (SimMatch)
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2022-01-17
    21.03
    best: 19.32 (CCSSL(FixMatch))
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Image ClassificationonCIFAR-100, 400 Labels
    Percentage error· 2022-01-17
    49.23
    best: 15.62 (SemiReward)
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2022-01-17
    4.16
    best: 3.96 (SimMatch)
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image Classificationoncifar-100, 10000 Labels
    Percentage error· 2022-01-17
    21.03
    best: 19.32 (CCSSL(FixMatch))
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image ClassificationonCIFAR-100, 400 Labels
    Percentage error· 2022-01-17
    49.23
    best: 15.62 (SemiReward)
    SOTA
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2022-01-17
    27.58
    best: 22.19 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Image ClassificationonCIFAR-10, 40 Labels
    Percentage error· 2022-01-17
    5.69
    best: 3.51 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2022-01-17
    5.04
    best: 3.47 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image ClassificationonCIFAR-100, 2500 Labels
    Percentage error· 2022-01-17
    27.58
    best: 22.19 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image ClassificationonCIFAR-10, 40 Labels
    Percentage error· 2022-01-17
    5.69
    best: 3.51 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247
  • Semi-Supervised Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2022-01-17
    5.04
    best: 3.47 (SemiOccam)
    Contrastive Regularization for Semi-Supervised LearningarXiv:2201.06247