Image Classification on Oxford-IIIT Pet 5-way 2-shot
91.44AccuracyLearned
Evaluation results
| Method | Links | |
|---|---|---|
| LearnedBackbone=ViT-Small2026.02 | 91.44 | |
| RandAugmentBackbone=ViT-Small2026.02 | 91.28 | |
| AutoAugmentBackbone=ViT-Small2026.02 | 90.6 | |
| LearnedBackbone=MobileNet2026.02 | 89.21 | |
| Naive BaselineBackbone=ViT-Small2026.02 | 88.52 | |
| LearnedBackbone=ResNet502026.02 | 88.34 | |
| RandAugmentBackbone=MobileNet2026.02 | 87.27 | |
| Naive BaselineBackbone=ResNet502026.02 | 86.57 | |
| AutoAugmentBackbone=ResNet502026.02 | 86.57 | |
| AutoAugmentBackbone=MobileNet2026.02 | 86.08 | |
| RandAugmentBackbone=ResNet502026.02 | 85.25 | |
| Random TreeBackbone=ResNet502026.02 | 84.97 | |
| Naive BaselineBackbone=MobileNet2026.02 | 84.41 |