Image Classification on Pet-37 (test)
0.32NLL (N=370)DE ELBO
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DE ELBOBackbone=ConNeXt-Tiny, Model=L2-SP2025.02 | 0.32 | 0.22 | |
| MAP + GSBackbone=ConNeXt-Tiny, Model=L2-SP2025.02 | 0.38 | 0.18 | |
| DE ELBOBackbone=ResNet-50, Model=L2-zero2025.02 | 0.4 | 0.29 | |
| DE ELBOBackbone=ViT-B/16, Model=L2-SP2025.02 | 0.4 | 0.3 | |
| MAP + LaplaceBackbone=ResNet-50, Model=L2-SP2025.02 | 0.41 | 0.27 | |
| MAP + LaplaceBackbone=ResNet-50, Model=L2-zero2025.02 | 0.42 | 0.24 | |
| MAP + GSBackbone=ResNet-50, Model=PTYL2025.02 | 0.42 | 0.26 | |
| MAP + GSBackbone=ViT-B/16, Model=L2-SP2025.02 | 0.42 | 0.25 | |
| MAP + GSBackbone=ResNet-50, Model=Linear probing2025.02 | 0.46 | 0.3 | |
| MAP + GSBackbone=ResNet-50, Model=L2-zero2025.02 | 0.51 | 0.39 | |
| MAP + GSBackbone=ResNet-50, Model=PTYL (SSL)2025.02 | 0.51 | 0.24 | |
| DE ELBOBackbone=ResNet-50, Model=PTYL, Order=22025.02 | 0.51 | 0.24 | |
| MAP + GSBackbone=ResNet-50, Model=L2-SP2025.02 | 0.8 | 0.27 | |
| DE ELBOBackbone=ResNet-50, Model=L2-SP2025.02 | 1.34 | 0.41 | |
| MAP + LaplaceBackbone=ResNet-50, Model=PTYL2025.02 | 1.64 | 0.54 | |
| DE ELBOBackbone=ResNet-50, Model=PTYL, Order=12025.02 | 2.07 | 0.68 |