k-NN Image Classification on StanfordCars
75.4AccuracyLoRA
Evaluation results
| Method | Links | |
|---|---|---|
| LoRATuned on=StanfordCars, Backbone=MAE ViT-B, Rank=rho=82025.06 | 75.4 | |
| EPProbed on=StanfordCars, Backbone=MAE ViT-B, Configuration=EP322025.06 | 70 | |
| EPProbed on=ImageNet-1K, Backbone=MAE ViT-B, Configuration=EP322025.06 | 31.4 | |
| LoRATuned on=ImageNet-1K, Backbone=MAE ViT-B, Rank=rho=82025.06 | 24.7 | |
| EPProbed on=Food-101, Backbone=MAE ViT-B, Configuration=EP322025.06 | 23.4 | |
| LoRATuned on=Food-101, Backbone=MAE ViT-B, Rank=rho=82025.06 | 15.2 | |
| frozen MAE backboneBackbone=MAE ViT-B2025.06 | 9.5 |