CC-GAN²

Reported on 3 benchmarks across 2 tasks · 1 paper · 3 SOTA

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

Computer Vision3 results

Image ClassificationonSTL-10
Percentage correct· 2016-11-19
77.8
best: 99.64 (µ2Net+ (ViT-L/16))
SOTA
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks arXiv:1611.06430
Image ClassificationonSTL-10, 1000 Labels
Accuracy· 2016-11-19
77.8
best: 94.53 (NP-Match)
SOTA
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks arXiv:1611.06430
Semi-Supervised Image ClassificationonSTL-10, 1000 Labels
Accuracy· 2016-11-19
77.8
best: 94.53 (NP-Match)
SOTA
Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks arXiv:1611.06430