Model Merging on Sustainability to large-scale tasks 4 tasks
98.3Average AccuracyDOGE AM
Evaluation Results
| Method | Links | |
|---|---|---|
| DOGE AMBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.08 | 98.3 | |
| Layer-wise AdaMergingBackbone=ViT-B/32, Method Category=Test-Time Adaption2025.08 | 96 | |
| TSV-MBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 95.9 | |
| RegMean++Backbone=ViT-B/32, Method Category=Training-Free2025.08 | 95.6 | |
| RegMeanBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 95.5 | |
| DOGE TABackbone=ViT-B/32, Method Category=Data-Free2025.08 | 93.9 | |
| Iso-CBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 93.7 | |
| Iso-CTSBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 93.7 | |
| Fisher MergingBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 90.2 | |
| Task ArithmeticBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 89.1 | |
| Model SoupsBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 88 | |
| TIES-MergingBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 85.4 |