Image Classification on 4-task benchmark (CIFAR100, Flowers, Pets, STL10)
76.13CIFAR100 AccuracyZeroshot
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| ZeroshotBackbone=ViT-L-14, Setting=LoRA2026.03 | 76.13 | 79.43 | 93.32 | 99.39 | 87.07 | |
| DC-MergeBackbone=ViT-L-14, Setting=LoRA2026.03 | 65.4 | 72.07 | 91.79 | 98.45 | 81.93 | |
| Iso-CTSBackbone=ViT-L-14, Setting=LoRA2026.03 | 61.9 | 72.68 | 91.62 | 98.31 | 81.13 | |
| WUDI-MergingBackbone=ViT-L-14, Setting=LoRA2026.03 | 60.81 | 69.65 | 87.26 | 99.03 | 79.19 | |
| TSV-MBackbone=ViT-L-14, Setting=LoRA2026.03 | 60.79 | 73.42 | 91.55 | 98.86 | 81.15 | |
| KnOTS-TIESBackbone=ViT-L-14, Setting=LoRA2026.03 | 57.5 | 72.01 | 90.33 | 98.84 | 79.67 | |
| Task ArithmeticBackbone=ViT-L-14, Setting=LoRA2026.03 | 57.28 | 65.71 | 83.52 | 98.95 | 76.36 |