Conformal Prediction on Mini-ImageNet
4.28Number of SuperclassesClustered
Evaluation Results
| Method | Links | |
|---|---|---|
| ClusteredBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.11 | 4.28 | |
| StandardBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.11 | 3.79 | |
| ClusteredBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.11 | 2.96 | |
| ClusteredBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.11 | 2.18 | |
| StandardBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.11 | 2.16 | |
| MS-CSBase Score Function=RAPS, Backbone=ResNet-50, alpha=0.12025.11 | 2.05 | |
| MS-CSBase Score Function=SAPS, Backbone=ResNet-50, alpha=0.12025.11 | 1.95 | |
| StandardBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.11 | 1.79 | |
| MS-CSBase Score Function=LAC, Backbone=ResNet-50, alpha=0.12025.11 | 1.69 |