Semi Supervised Image Classification On 16
Metriken
ImageNet Top-1 Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | ImageNet Top-1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| DebiasPL (ResNet-50) | 69.6% | Debiased Learning from Naturally Imbalanced Pseudo-Labels | |
| FixMatch w/ EMAN (ResNet-50) | 43.6% | Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning | |
| CLIP (ResNet-50) | 40% | Learning Transferable Visual Models From Natural Language Supervision |
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