k-NN Image Classification on Food101
80.3AccuracyLoRA
Evaluation results
| Method | Links | |
|---|---|---|
| LoRATuned on=Food-101, Backbone=MAE ViT-B, Rank=rho=82025.06 | 80.3 | |
| EPProbed on=Food-101, Backbone=MAE ViT-B, Configuration=EP322025.06 | 75.2 | |
| LoRATuned on=ImageNet-1K, Backbone=MAE ViT-B, Rank=rho=82025.06 | 65.6 | |
| EPProbed on=ImageNet-1K, Backbone=MAE ViT-B, Configuration=EP322025.06 | 64.2 | |
| EPProbed on=StanfordCars, Backbone=MAE ViT-B, Configuration=EP322025.06 | 42 | |
| LoRATuned on=StanfordCars, Backbone=MAE ViT-B, Rank=rho=82025.06 | 38.7 | |
| frozen MAE backboneBackbone=MAE ViT-B2025.06 | 28.8 |