Image Classification on CIFAR100 (test) (ACC, NLL, LCE, MLCE, ECCE, ECE)
0.11LCESM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SMBackbone=ViT2026.05 | 0.11 | 35.9 | 0.03 | 0.11 | 81.9 | 0.66 | |
| IRBackbone=ViT2026.05 | 0.11 | 34.39 | 0.04 | 0.13 | 81.6 | 0.868 | |
| VQBackbone=ViT2026.05 | 0.12 | 26.8 | 0.05 | 0.14 | 77.3 | 0.838 | |
| TSBackbone=ViT2026.05 | 0.12 | 37.15 | 0.05 | 0.13 | 81.6 | 0.677 | |
| PCBackbone=ViT2026.05 | 0.14 | 35.5 | 0.05 | 0.15 | 81.2 | 0.7 | |
| NCBackbone=ViT2026.05 | 0.17 | 40.98 | 0.08 | 0.2 | 81.6 | 0.768 | |
| DCBackbone=ViT2026.05 | 0.23 | 45.58 | 0.09 | 0.26 | 78.6 | 1.013 | |
| LNBackbone=ViT2026.05 | 0.28 | 96.71 | 0.06 | 0.17 | 81.9 | 0.717 | |
| PSBackbone=ViT2026.05 | 0.3 | 33.17 | 0.11 | 0.31 | 81.8 | 0.969 | |
| KCBackbone=ViT2026.05 | 0.49 | 89.2 | 0.1 | 0.22 | 78.2 | 0.818 |