Image Classification on Vision Datasets 1.0 (test)
92Average AccuracyMDA TA
Evaluation Results
| Method | Links | |
|---|---|---|
| MDA TABackbone=ViT-L/142025.11 | 92 | |
| TSV TABackbone=ViT-L/142025.11 | 91.3 | |
| ISO TABackbone=ViT-L/142025.11 | 91.1 | |
| ISO-CLS TABackbone=ViT-L/142025.11 | 90.7 | |
| MDA TABackbone=ViT-B/162025.11 | 89.9 | |
| ISO TABackbone=ViT-B/162025.11 | 89.1 | |
| TSV TABackbone=ViT-B/162025.11 | 89 | |
| DOGE TABackbone=ViT-L/142025.11 | 88.8 | |
| ISO-CLS TABackbone=ViT-B/162025.11 | 88.5 | |
| Ties-MergingBackbone=ViT-L/142025.11 | 86.9 | |
| Consensus TIESBackbone=ViT-L/142025.11 | 86.9 | |
| MDA TABackbone=ViT-B/322025.11 | 86.4 | |
| DOGE TABackbone=ViT-B/162025.11 | 86.3 | |
| Consensus TABackbone=ViT-L/142025.11 | 86.2 | |
| TSV TABackbone=ViT-B/322025.11 | 85.2 | |
| Task ArithmeticBackbone=ViT-L/142025.11 | 84.8 | |
| ISO TABackbone=ViT-B/322025.11 | 82.9 | |
| ISO-CLS TABackbone=ViT-B/322025.11 | 80.8 | |
| DOGE TABackbone=ViT-B/322025.11 | 80.7 | |
| Weight averagingBackbone=ViT-L/142025.11 | 79.4 | |
| Ties-MergingBackbone=ViT-B/162025.11 | 79.2 | |
| Consensus TABackbone=ViT-B/162025.11 | 79 | |
| Consensus TIESBackbone=ViT-B/162025.11 | 78.2 | |
| Task ArithmeticBackbone=ViT-B/162025.11 | 75.4 | |
| Ties-MergingBackbone=ViT-B/322025.11 | 75.1 | |
| Consensus TABackbone=ViT-B/322025.11 | 75 | |
| Consensus TIESBackbone=ViT-B/322025.11 | 74.8 | |
| Weight averagingBackbone=ViT-B/162025.11 | 72.1 | |
| Task ArithmeticBackbone=ViT-B/322025.11 | 70.8 | |
| Weight averagingBackbone=ViT-B/322025.11 | 66.5 | |
| Pre-trainedBackbone=ViT-L/142025.11 | 64.4 | |
| Pre-trainedBackbone=ViT-B/162025.11 | 55.1 | |
| Pre-trainedBackbone=ViT-B/322025.11 | 48.4 |