Semi-supervised Image Classification on CIFAR-10 standard (test)
95.94Top-1 AccuracyFixMatch (STS)
Evaluation results
| Method | Links | |
|---|---|---|
| FixMatch (STS)number of labels=40002021.10 | 95.94 | |
| FixMatchnumber of labels=40002021.10 | 95.77 | |
| ReMixMatchnumber of labels=40002021.10 | 95.28 | |
| UDAnumber of labels=40002021.10 | 95.12 | |
| FixMatch (STS)number of labels=2502021.10 | 95.1 | |
| FixMatchnumber of labels=2502021.10 | 94.89 | |
| ReMixMatchnumber of labels=2502021.10 | 94.56 | |
| FixMatch (STS)number of labels=402021.10 | 93.89 | |
| MixMatchnumber of labels=40002021.10 | 93.58 | |
| FixMatch (STS)number of labels=202021.10 | 93.31 | |
| FixMatchnumber of labels=402021.10 | 92.06 | |
| Mean Teachernumber of labels=40002021.10 | 90.81 | |
| MixMatchnumber of labels=2502021.10 | 88.95 | |
| FixMatchnumber of labels=202021.10 | 86.68 | |
| Pi-Modelnumber of labels=40002021.10 | 85.99 | |
| Pseudo-Labelingnumber of labels=40002021.10 | 83.91 | |
| UDAnumber of labels=2502021.10 | 81.18 | |
| ReMixMatchnumber of labels=402021.10 | 80.9 | |
| UDAnumber of labels=402021.10 | 70.95 | |
| Mean Teachernumber of labels=2502021.10 | 67.68 | |
| Pseudo-Labelingnumber of labels=2502021.10 | 50.22 | |
| Pi-Modelnumber of labels=2502021.10 | 45.74 |