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Models/RealMix

RealMix

Reported on 8 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 Vision8 results

  • Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2019-12-18
    6.38
    best: 3.96 (SimMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Image Classificationoncifar10, 250 Labels
    Percentage correct· 2019-12-18
    90.21
    best: 93.73 (ReMixMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Image ClassificationonSVHN, 250 Labels
    Accuracy· 2019-12-18
    96.47
    best: 98.04 (ShrinkMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2019-12-18
    9.79
    best: 3.47 (SemiOccam)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2019-12-18
    6.38
    best: 3.96 (SimMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Semi-Supervised Image Classificationoncifar10, 250 Labels
    Percentage correct· 2019-12-18
    90.21
    best: 93.73 (ReMixMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Semi-Supervised Image ClassificationonSVHN, 250 Labels
    Accuracy· 2019-12-18
    96.47
    best: 98.04 (ShrinkMatch)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766
  • Semi-Supervised Image ClassificationonCIFAR-10, 250 Labels
    Percentage error· 2019-12-18
    9.79
    best: 3.47 (SemiOccam)
    RealMix: Towards Realistic Semi-Supervised Deep Learning AlgorithmsarXiv:1912.08766