Image Classification On Tiny Imagenet 2
Metrics
Top 1 Accuracy
Results
Performance results of various models on this benchmark
Model Name | Top 1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| PreActResNet18 | 63.48 | Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup | |
| UPANets | 67.67 | UPANets: Learning from the Universal Pixel Attention Networks | - |
| MMA-CCT-7/3x2 | - | Multi-manifold Attention for Vision Transformers | - |
| DLME (ResNet-18, linear) | 44.9 | DLME: Deep Local-flatness Manifold Embedding |
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