Self Supervised Learning On Stl 10
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| ResNet18 | 91.02 | Guarding Barlow Twins Against Overfitting with Mixed Samples | - |
| MV-MR | 89.67 | MV-MR: multi-views and multi-representations for self-supervised learning and knowledge distillation | - |
| ResNet50 | 91.70 | Guarding Barlow Twins Against Overfitting with Mixed Samples | - |
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