5-way 2-shot Image Classification on Caltech256
88.28AccuracyLearned
Evaluation results
| Method | Links | |
|---|---|---|
| LearnedBackbone=ResNet502026.02 | 88.28 | |
| AutoAugmentBackbone=ResNet502026.02 | 86.78 | |
| RandAugmentBackbone=MobileNet2026.02 | 86.04 | |
| RandAugmentBackbone=ResNet502026.02 | 84.71 | |
| AutoAugmentBackbone=MobileNet2026.02 | 84.45 | |
| LearnedBackbone=MobileNet2026.02 | 84.18 | |
| RandAugmentBackbone=ViT-Small2026.02 | 81.85 | |
| AutoAugmentBackbone=ViT-Small2026.02 | 81.74 | |
| Random TreeBackbone=ResNet502026.02 | 81.42 | |
| Naive BaselineBackbone=MobileNet2026.02 | 80.95 | |
| LearnedBackbone=ViT-Small2026.02 | 79.83 | |
| Naive BaselineBackbone=ResNet502026.02 | 79.78 | |
| Naive BaselineBackbone=ViT-Small2026.02 | 73.3 |