Image Classification on Flowers102 (5-way 2-shot)
99.37AccuracyRandAugment
Evaluation results
| Method | Links | |
|---|---|---|
| RandAugmentBackbone=ViT-Small2026.02 | 99.37 | |
| AutoAugmentBackbone=ViT-Small2026.02 | 98.63 | |
| Naive BaselineBackbone=ViT-Small2026.02 | 97.89 | |
| LearnedBackbone=ViT-Small2026.02 | 94.3 | |
| AutoAugmentBackbone=ResNet502026.02 | 86.6 | |
| RandAugmentBackbone=ResNet502026.02 | 83.65 | |
| AutoAugmentBackbone=MobileNet2026.02 | 81.75 | |
| RandAugmentBackbone=MobileNet2026.02 | 79.54 | |
| Random TreeBackbone=ResNet502026.02 | 78.59 | |
| Naive BaselineBackbone=MobileNet2026.02 | 77 | |
| LearnedBackbone=ResNet502026.02 | 73.73 | |
| LearnedBackbone=MobileNet2026.02 | 73.21 | |
| Naive BaselineBackbone=ResNet502026.02 | 70.49 |