Nutrition Estimation on OmniFood8K
27.7CaloriesSwin-Transformer
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| Swin-TransformerInput=RGB images2026.04 | 27.7 | 15.1 | 29.6 | 42.6 | 41 | 31.2 | |
| EfficientNetInput=RGB images2026.04 | 27.1 | 10.4 | 28.3 | 38.9 | 40 | 28.9 | |
| Inception V3Input=RGB images2026.04 | 17.2 | 10 | 17.8 | 13.8 | 20.5 | 16 | |
| MobileNetV3Input=RGB images2026.04 | 17.1 | 8.5 | 18.5 | 21.2 | 27.1 | 18.5 | |
| ConvNeXt V2Input=RGB images2026.04 | 15.5 | 6.4 | 11.3 | 9.3 | 12.6 | 11.2 | |
| DenseNet-161Input=RGB images2026.04 | 12.2 | 7.6 | 12.7 | 12.6 | 16.3 | 12.3 | |
| DenseNet-121Input=RGB images2026.04 | 12.1 | 7.4 | 13.7 | 10.5 | 18.2 | 12.4 | |
| ResNet-101Input=RGB images2026.04 | 10.9 | 6 | 12.2 | 9.1 | 15.2 | 10.6 | |
| ResNet-50Input=RGB images2026.04 | 10.2 | 5.1 | 11 | 11.1 | 14.8 | 10.4 | |
| ConvNeXtInput=RGB images2026.04 | 10.1 | 5.6 | 10.8 | 9.5 | 13.3 | 9.8 | |
| OursInput=RGB images2026.04 | 8.8 | 4.5 | 9.5 | 8 | 12.6 | 8.6 |