Semi Supervised Image Classification On Mini 1
Metrics
Accuracy
Results
Performance results of various models on this benchmark
| Paper Title | ||
|---|---|---|
| FeatMatch | 65.21 | FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning |
| SemCo (μ=3) | 58.75±0.76 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training |
| SemCo (μ=7) | 57.22±0.35 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training |
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