Image Classification on CIFAR-100 (test) (Accuracy, F1-Score, ECE, Diversity)
56.8AccuracyMCD
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MCDM=1002026.02 | 56.8 | 56.6 | 8.2 | 0.0004 | |
| MCDM=102026.02 | 56.7 | 56.5 | 8.6 | 0.0003 | |
| Single ModelM=12026.02 | 56.5 | 56.3 | 12.2 | — | |
| MCD-LLEM=1002026.02 | 56.5 | 56.3 | 10.2 | 0.0002 | |
| MCD-LLEM=10002026.02 | 56.5 | 56.4 | 10.2 | 0.0002 | |
| MCDM=52026.02 | 56.4 | 56.2 | 9.2 | 0.0003 | |
| MCD-LLEM=102026.02 | 56.4 | 56.3 | 10.3 | 0.0002 | |
| MCD-LLEM=52026.02 | 56.3 | 56.2 | 10.6 | 0.0002 | |
| LLE-VGNM=52026.02 | 54.8 | 54.5 | 11.1 | 0.0013 | |
| LLEM=52026.02 | 54.5 | 54.1 | 7.4 | 0.0016 | |
| LLE-VGNM=102026.02 | 54.5 | 54.2 | 9.5 | 0.002 | |
| LLE-VGNM=1002026.02 | 54.4 | 54.2 | 5.9 | 0.0042 | |
| LLEM=102026.02 | 54.3 | 53.8 | 6.2 | 0.0024 | |
| LLEM=1002026.02 | 53.7 | 53.3 | 5.9 | 0.0043 | |
| DE-VGNM=52026.02 | 50.7 | 50.4 | 8.6 | 0.0031 | |
| DEM=52026.02 | 48.7 | 48.1 | 9.5 | 0.0035 |