Image Classification on Stanford Cars 5-way 2-shot
46.32AccuracyLearned
Evaluation results
| Method | Links | |
|---|---|---|
| LearnedBackbone=ViT-Small2026.02 | 46.32 | |
| RandAugmentBackbone=ViT-Small2026.02 | 43.83 | |
| AutoAugmentBackbone=ViT-Small2026.02 | 42.74 | |
| Naive BaselineBackbone=ViT-Small2026.02 | 40.64 | |
| LearnedBackbone=ResNet502026.02 | 40.4 | |
| LearnedBackbone=MobileNet2026.02 | 37.36 | |
| RandAugmentBackbone=ResNet502026.02 | 37.2 | |
| AutoAugmentBackbone=MobileNet2026.02 | 36.95 | |
| Random TreeBackbone=ResNet502026.02 | 36.94 | |
| RandAugmentBackbone=MobileNet2026.02 | 36.3 | |
| Naive BaselineBackbone=MobileNet2026.02 | 35.35 | |
| AutoAugmentBackbone=ResNet502026.02 | 34.68 | |
| Naive BaselineBackbone=ResNet502026.02 | 30.9 |