Image Classification on Stanford Cars 5-way 5-shot (test)
88.41AccuracyBOB
Evaluation results
| Method | Links | |
|---|---|---|
| BOBBackbone=CLIP, SD Ver.=v2.12025.10 | 88.41 | |
| BOBBackbone=MAE, SD Ver.=v1.52025.10 | 87.73 | |
| DataDreamBackbone=ImageNet, SD Ver.=v2.12025.10 | 86.15 | |
| AutoAugmentModel=ViT-Small2026.02 | 66.67 | |
| RandAugmentModel=ViT-Small2026.02 | 63 | |
| LearnedModel=ViT-Small2026.02 | 59.25 | |
| Naive BaselineModel=ViT-Small2026.02 | 58.12 | |
| LearnedModel=ResNet502026.02 | 57.98 | |
| AutoAugmentModel=MobileNet2026.02 | 55.93 | |
| RandAugmentModel=MobileNet2026.02 | 55.41 | |
| RandAugmentModel=ResNet502026.02 | 54.63 | |
| Random TreeModel=ResNet502026.02 | 53.75 | |
| Naive BaselineModel=ResNet502026.02 | 52.97 | |
| AutoAugmentModel=ResNet502026.02 | 51.48 | |
| Naive BaselineModel=MobileNet2026.02 | 50.79 | |
| LearnedModel=MobileNet2026.02 | 48.87 |