Model Merging on Large-scale tasks 12 tasks merged
94.3Avg Normalized AccDOGE AM
Evaluation Results
| Method | Links | |
|---|---|---|
| DOGE AMBackbone=ViT-B/16, Method Category=Test-Time Adaption Methods2025.08 | 94.3 | |
| Iso-CTSBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 94.1 | |
| Iso-CBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 92.7 | |
| TSV-MBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 91.7 | |
| RegMean++Backbone=ViT-B/16, Method Category=Training-Free Methods2025.08 | 90.7 | |
| RegMeanBackbone=ViT-B/16, Method Category=Training-Free Methods2025.08 | 89.9 | |
| Layer-wise AdaMergingBackbone=ViT-B/16, Method Category=Test-Time Adaption Methods2025.08 | 87.9 | |
| DOGE TABackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 87.8 | |
| TIES-MergingBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 80 | |
| Fisher MergingBackbone=ViT-B/16, Method Category=Training-Free Methods2025.08 | 78.6 | |
| Model SoupsBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 75.1 | |
| Task ArithmeticBackbone=ViT-B/16, Method Category=Data-Free Methods2025.08 | 73.1 |