CIFAR-10
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Image Classification | CIFAR-10 (test) | Accuracy98.2 | 882 | |
| Image Classification | CIFAR-10 NAS-Bench-201 (test) | Accuracy95.46 | 225 | |
| Clustering | CIFAR-10 (test) | Accuracy100 | 190 | |
| Image Generation | CIFAR-10 32x32 | FID1.96 | 151 | |
| Out-of-distribution Detection | CIFAR-10 vs SVHN (test) | AUROC99.84 | 137 | |
| Image Classification | CIFAR-10 (test) | Accuracy98.77 | 129 | |
| Linear Classification | CIFAR-10 (test) | Top-1 Accuracy94.7 | 116 | |
| Neural Architecture Search | CIFAR-10 NAS-Bench-201 (val) | Accuracy94.37 | 111 | |
| Image Classification | CIFAR-10 non-IID (test) | Average Test Accuracy89.69 | 110 | |
| Copyright Verification | CIFAR-10 (test) | CVSR99 | 100 | |
| Image Classification | CIFAR-10 v1 (test) | Accuracy90.06 | 98 | |
| Image Classification | CIFAR-10 (test) | Attack Success Rate (ASR)99.97 | 82 | |
| Image Generation | CIFAR-10 32x32 EDM (test) | FID1.98 | 79 | |
| Image Classification | CIFAR-10 Long-Tailed 1.0 (test) | Top-1 Error6.77 | 79 | |
| Backdoor Defense | CIFAR-10 | Attack Success Rate6,010 | 78 | |
| Long-tailed Classification | CIFAR-10 long-tail (test) | Accuracy (All)87.3 | 77 | |
| Data Poisoning Defense | CIFAR-10 (test) | Test Accuracy95.33 | 76 | |
| Adversarial Robustness | CIFAR-10 (test) | Attack Success Rate (ASR)47.7 | 76 | |
| Image Classification | CIFAR-10-LT (IF 50) | Top-1 Accuracy91.1 | 75 | |
| Out-of-Distribution Detection and Generalization | CIFAR-10 ID LSUN-C semantic OOD & CIFAR-10-C covariate OOD | OOD Accuracy91.08 | 74 | |
| Image Classification | CIFAR-10 Long-Tailed | Accuracy97.27 | 71 | |
| Image Classification | CIFAR-10 (test) | Accuracy96.1 | 68 | |
| Image Classification | CIFAR-10 (250 labels) | Error Rate2.42 | 66 | |
| Image Classification | CIFAR-10-LT IF 100 | Top-1 Accuracy89.1 | 65 | |
| Image Classification | CIFAR-10 Symmetric Noise (test) | Test Accuracy (Overall)93.6 | 64 |
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