Image Classification on Cars, EuroSAT, RESISC45, GTSRB (test)
90.9AccuracyDOGE AM
Evaluation Results
| Method | Links | |
|---|---|---|
| DOGE AMBackbone=ViT-B/32, Method Category=Test-Time Adaptation2025.08 | 90.9 | |
| RegMean++Backbone=ViT-B/32, Method Category=Training-Free2025.08 | 89.7 | |
| RegMeanBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 89.1 | |
| Layer-wise AdaMergingBackbone=ViT-B/32, Method Category=Test-Time Adaptation2025.08 | 88.4 | |
| TSV-MBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 88.3 | |
| DOGE TABackbone=ViT-B/32, Method Category=Data-Free2025.08 | 86.1 | |
| Iso-CTSBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 84.9 | |
| Iso-CBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 84.8 | |
| Fisher MergingBackbone=ViT-B/32, Method Category=Training-Free2025.08 | 79.1 | |
| Task ArithmeticBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 77.5 | |
| Model SoupsBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 76 | |
| TIES-MergingBackbone=ViT-B/32, Method Category=Data-Free2025.08 | 73.3 |