Image Classification on SVHN 1.0 (test)
97.72AccuracyFixMatch(RA)
Evaluation results
| Method | Links | |
|---|---|---|
| FixMatch(RA)Number of labels=10002021.01 | 97.72 | |
| UDANumber of labels=10002021.01 | 97.54 | |
| FixMatch(RA)Number of labels=2502021.01 | 97.52 | |
| SelfMatchNumber of labels=10002021.01 | 97.49 | |
| SupervisedNumber of labels=all2021.01 | 97.41 | |
| SelfMatchNumber of labels=2502021.01 | 97.37 | |
| ReMixMatchNumber of labels=10002021.01 | 97.35 | |
| ReMixMatchNumber of labels=2502021.01 | 97.08 | |
| ReMixMatchNumber of labels=402021.01 | 96.66 | |
| Mean TeacherNumber of labels=10002021.01 | 96.58 | |
| SelfMatchNumber of labels=402021.01 | 96.58 | |
| MixMatchNumber of labels=10002021.01 | 96.5 | |
| Mean TeacherNumber of labels=2502021.01 | 96.43 | |
| FixMatch(RA)Number of labels=402021.01 | 96.04 | |
| MixMatchNumber of labels=2502021.01 | 96.02 | |
| UDANumber of labels=2502021.01 | 94.31 | |
| Pi-ModelNumber of labels=10002021.01 | 92.46 | |
| Pseudo-LabelNumber of labels=10002021.01 | 90.06 | |
| Pi-ModelNumber of labels=2502021.01 | 81.04 | |
| Pseudo-LabelNumber of labels=2502021.01 | 79.79 | |
| MixMatchNumber of labels=402021.01 | 57.45 | |
| UDANumber of labels=402021.01 | 47.37 |