CIFAR-100
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | CIFAR-100 (val) | Accuracy94.11 | 781 | |
| Image Classification | CIFAR-100 | Accuracy100 | 357 | |
| Image Classification | CIFAR-100 (test) | Accuracy89.84 | 295 | |
| Image Classification | CIFAR-100 (test) | Top-1 Acc91.1 | 287 | |
| Image Classification | CIFAR-100 NAS-Bench-201 (test) | Accuracy78.17 | 198 | |
| Class-Incremental Learning | CIFAR-100 | Average Accuracy94.5 | 150 | |
| Clustering | CIFAR-100 (test) | ACC89.1 | 123 | |
| Online Class-Incremental Learning | CIFAR-100 10 tasks (test) | FAA (%)43.2 | 115 | |
| Calibration | CIFAR-100 (test) | ECE0.85 | 104 | |
| Image Classification | CIFAR-100 Long-tailed (val) | Top-1 Accuracy (Overall)65.29 | 82 | |
| Image Classification | CIFAR-100 Non-IID Dir(0.3) 2009 (test) | Top-1 Accuracy69.38 | 78 | |
| Long-tailed Classification | CIFAR-100 long-tail (test) | Accuracy (All)56.4 | 77 | |
| Image Classification | CIFAR-100-LT IF 100 (test) | Top-1 Acc56.1 | 77 | |
| Class-incremental learning | CIFAR-100 Split (test) | Avg Acc94.76 | 75 | |
| Image Classification | CIFAR-100 (test) | Accuracy (Symmetric 20%)79.7 | 72 | |
| Image Classification | CIFAR-100 LT (val) | Top-1 Accuracy64.53 | 69 | |
| Clustering | CIFAR-100-20 (test) | Accuracy89.5 | 68 | |
| Image Classification | CIFAR-100 (test) | Test Error21.47 | 65 | |
| Image Classification | CIFAR-100 | Robust Accuracy45.7 | 64 | |
| Image Classification | CIFAR-100 (test) | Accuracy92.46 | 63 | |
| Class-incremental learning | CIFAR-100 10-split | Accuracy97.87 | 63 | |
| Continual Learning | Split CIFAR-100 20 tasks | Mean Test Accuracy94.08 | 62 | |
| Image Classification | CIFAR-100-LT Imbalance Ratio 100 (test) | Accuracy89.1 | 62 | |
| Continual Learning | Split CIFAR-100 10 tasks | Accuracy56.3 | 60 | |
| Continual Learning | Split CIFAR-100 (10 tasks) (test) | Accuracy78.3 | 60 |
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