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Models/MTC

MTC

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· 2020-07-22
91
best: 97.2 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330
Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
Accuracy· 2020-07-22
86.6
best: 96.8 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330
Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
Accuracy· 2020-07-22
79.7
best: 95.7 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330
Semi-Supervised Image ClassificationonCIFAR-10, 400 Labels (OpenSet, 6/4)
Accuracy· 2020-07-22
91
best: 97.2 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330
Semi-Supervised Image ClassificationonCIFAR-10, 100 Labels (OpenSet, 6/4)
Accuracy· 2020-07-22
86.6
best: 96.8 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330
Semi-Supervised Image ClassificationonCIFAR-10, 50 Labels (OpenSet, 6/4)
Accuracy· 2020-07-22
79.7
best: 95.7 (UnMixMatch)
SOTA
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning arXiv:2007.11330