Image Classification on CIFAR-10-LT (ρ = 0.1)
86.37Test AccuracyDAPPr
Evaluation Results
| Method | Links | |
|---|---|---|
| DAPPr2026.05 | 86.37 | |
| F-EDLBackbone=VGG-162025.10 | 85.46 | |
| F-EDL2026.05 | 85.46 | |
| R-EDLBackbone=VGG-162025.10 | 85.35 | |
| R-EDL2026.05 | 85.35 | |
| DAEDLBackbone=VGG-162025.10 | 84.95 | |
| DAEDL2026.05 | 84.95 | |
| I-EDLBackbone=VGG-162025.10 | 84.86 | |
| I-EDL2026.05 | 84.86 | |
| EDLBackbone=VGG-162025.10 | 79.09 | |
| EDL2026.05 | 79.09 | |
| DropoutBackbone=VGG-162025.10 | 70.87 | |
| MC Dropout2026.05 | 70.87 |