CIFAR-100
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | CIFAR-100 (val) | Accuracy91.8 | 661 | |
| Image Classification | CIFAR-100 (test) | Top-1 Acc91.1 | 275 | |
| Image Classification | CIFAR-100 NAS-Bench-201 (test) | Accuracy73.51 | 169 | |
| Clustering | CIFAR-100 (test) | ACC89.1 | 110 | |
| Calibration | CIFAR-100 (test) | ECE0.85 | 99 | |
| Image Classification | CIFAR-100 Long-tailed (val) | Top-1 Accuracy (Overall)65.29 | 82 | |
| 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-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 | |
| Class-Incremental Learning | CIFAR-100 | Average Accuracy92.4 | 60 | |
| Image Classification | CIFAR-100-C v1 (test) | Error Rate (Average)28.8 | 60 | |
| Image Classification | CIFAR-100 LT Imbalance Ratio 10 (test) | Accuracy91.3 | 59 | |
| Continual Learning | CIFAR-100 | Accuracy92.4 | 56 | |
| Image Classification | Imbalanced CIFAR-100 (val) | Top-1 Error40.07 | 56 | |
| Confidence calibration | CIFAR-100-LT (test) | ECE0.015 | 53 | |
| Image Classification | CIFAR-100 2009 (test) | Accuracy80.08 | 53 | |
| Image Classification | CIFAR-100 long-tailed (test) | Balanced Accuracy57 | 51 | |
| Image Classification | CIFAR-100-LT Imbalance Factor 100 (test) | Top-1 Accuracy53.8 | 44 |
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