Image Classification on Oxford-IIIT Pet 5-way 5-shot (test)
95.44AccuracyRandAugment
Evaluation results
| Method | Links | |
|---|---|---|
| RandAugmentModel=ViT-Small2026.02 | 95.44 | |
| AutoAugmentModel=ViT-Small2026.02 | 95.37 | |
| Naive BaselineModel=ViT-Small2026.02 | 94.95 | |
| LearnedModel=ResNet502026.02 | 93.63 | |
| AutoAugmentModel=ResNet502026.02 | 93.61 | |
| LearnedModel=ViT-Small2026.02 | 93.54 | |
| Random TreeModel=ResNet502026.02 | 93.12 | |
| RandAugmentModel=ResNet502026.02 | 92.91 | |
| Naive BaselineModel=ResNet502026.02 | 92.07 | |
| LearnedModel=MobileNet2026.02 | 90.53 | |
| RandAugmentModel=MobileNet2026.02 | 90.32 | |
| AutoAugmentModel=MobileNet2026.02 | 90.14 | |
| Naive BaselineModel=MobileNet2026.02 | 88.56 |