Semi Supervised Image Classification On Mini
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SemCo (μ=3) | 53.99±0.93 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training | |
| FeatMatch | 60.95 | FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning | |
| SimPLE | 66.55 | SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification | |
| SemCo (μ=7) | 50.54±2.20 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training |
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