Ⅱ-Model

Reported on 4 benchmarks across 2 tasks · 2 papers · 4 SOTA

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

Computer Vision4 results

Image ClassificationonCIFAR-10, 250 Labels
Percentage error· 2016-10-07
53.12
best: 3.47 (SemiOccam)
SOTA
Temporal Ensembling for Semi-Supervised Learning arXiv:1610.02242
Semi-Supervised Image ClassificationonCIFAR-10, 250 Labels
Percentage error· 2016-10-07
53.12
best: 3.47 (SemiOccam)
SOTA
Temporal Ensembling for Semi-Supervised Learning arXiv:1610.02242
Image Classificationoncifar-100, 10000 Labels
Percentage error· 2016-06-14
39.19
best: 19.32 (CCSSL(FixMatch))
SOTA
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning arXiv:1606.04586
Semi-Supervised Image Classificationoncifar-100, 10000 Labels
Percentage error· 2016-06-14
39.19
best: 19.32 (CCSSL(FixMatch))
SOTA
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning arXiv:1606.04586