Image Classification on CIFAR-100 (Calibration Metrics: ECE, NLL)
0.0012LCEVQ
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| VQBackbone=ConvNeXt2026.05 | 0.0012 | 0.2778 | 0.0005 | 0.0014 | 79.9 | 0.69 | |
| DCBackbone=ConvNeXt2026.05 | 0.0013 | 0.4576 | 0.0004 | 0.0012 | 81.7 | 0.609 | |
| SMBackbone=ConvNeXt2026.05 | 0.0013 | 0.4611 | 0.0004 | 0.0012 | 81.1 | 0.631 | |
| IRBackbone=ConvNeXt2026.05 | 0.0014 | 0.456 | 0.0004 | 0.0014 | 80.5 | 0.837 | |
| LNBackbone=ConvNeXt2026.05 | 0.0015 | 0.6542 | 0.0005 | 0.0013 | 81.9 | 0.616 | |
| NCBackbone=ConvNeXt2026.05 | 0.0018 | 0.5137 | 0.001 | 0.002 | 79.1 | 0.711 | |
| PCBackbone=ConvNeXt2026.05 | 0.0019 | 0.4851 | 0.0011 | 0.0019 | 79 | 0.696 | |
| TSBackbone=ConvNeXt2026.05 | 0.002 | 0.4876 | 0.0011 | 0.002 | 79.1 | 0.702 | |
| KCBackbone=ConvNeXt2026.05 | 0.0023 | 0.5495 | 0.0009 | 0.0019 | 78.9 | 0.729 | |
| PSBackbone=ConvNeXt2026.05 | 0.0037 | 0.4288 | 0.0012 | 0.0036 | 80.1 | 0.989 |