Semi Supervised Image Classification On Cifar 9
Metriken
Percentage error
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Percentage error |
|---|---|
| remixmatch-semi-supervised-learning-with-1 | 27.43±0.31 |
| class-aware-contrastive-semi-supervised | 24.3 |
| doublematch-improving-semi-supervised | 27.07± 0.26 |
| Modell 4 | 25.88±0.23 |
| lidam-semi-supervised-learning-with-localized | 26.50 |
| shrinking-class-space-for-enhanced-certainty | 25.17 |
| np-match-when-neural-processes-meet-semi | 26.03 |
| fixmatch-simplifying-semi-supervised-learning | 28.64±0.24 |
| simmatch-semi-supervised-learning-with | 25.07 |
| freematch-self-adaptive-thresholding-for-semi | 26.47 |
| dash-semi-supervised-learning-with-dynamic | 27.18±0.21 |
| contrastive-regularization-for-semi | 27.58 |
| flexmatch-boosting-semi-supervised-learning | 26.49±0.20 |