Semi Supervised Image Classification On Svhn 2
Metrics
Percentage error
Results
Performance results of various models on this benchmark
Model Name | Percentage error | Paper Title | Repository |
|---|---|---|---|
| Semi-MMDC | 3.09±0.54 | Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering | - |
| DoubleMatch | 15.37±11.81 | DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision | - |
| FixMatch (CTA) | 7.65±7.65 | FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence | - |
| ShrinkMatch | 2.51 | Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning | - |
| MutexMatch (k=0.6C) | 3.45 | MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization | - |
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