Semi Supervised Image Classification On Mini 1
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
模型名称 | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SemCo (μ=7) | 57.22±0.35 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training | - |
| SemCo (μ=3) | 58.75±0.76 | All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training | - |
| FeatMatch | 65.21 | FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning | - |
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