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Models/ICT (CNN-13)

ICT (CNN-13)

Reported on 6 benchmarks across 2 tasks · 1 paper · 4 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, 2000 Labels
    Accuracy· 2019-03-09
    90.74
    best: 92.97 (MixMatch)
    SOTA
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825
  • Image ClassificationonCIFAR-10, 1000 Labels
    Accuracy· 2019-03-09
    84.52
    best: 92.25 (MixMatch)
    SOTA
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825
  • Semi-Supervised Image ClassificationonCIFAR-10, 2000 Labels
    Accuracy· 2019-03-09
    90.74
    best: 92.97 (MixMatch)
    SOTA
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825
  • Semi-Supervised Image ClassificationonCIFAR-10, 1000 Labels
    Accuracy· 2019-03-09
    84.52
    best: 92.25 (MixMatch)
    SOTA
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825
  • Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2019-03-09
    7.29
    best: 3.96 (SimMatch)
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825
  • Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
    Percentage error· 2019-03-09
    7.29
    best: 3.96 (SimMatch)
    Interpolation Consistency Training for Semi-Supervised LearningarXiv:1903.03825