TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/FixMatch

FixMatch

Reported on 6 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 Vision6 results

  • Image ClassificationonCIFAR-10, 400 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    83.7
    best: 97.2 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685
  • Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    70.2
    best: 96.8 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685
  • Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    56.8
    best: 95.7 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685
  • Semi-Supervised Image ClassificationonCIFAR-10, 400 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    83.7
    best: 97.2 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685
  • Semi-Supervised Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    70.2
    best: 96.8 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685
  • Semi-Supervised Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
    Accuracy· 2020-01-21
    56.8
    best: 95.7 (UnMixMatch)
    SOTA
    FixMatch: Simplifying Semi-Supervised Learning with Consistency and ConfidencearXiv:2001.07685