Nutrition Estimation on Nutrition5k
14Calories PMAEFBFPN
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FBFPNInput=RGB-D images2026.04 | 14 | 10.3 | 22.6 | 19.5 | 20.2 | 17.3 | |
| OursInput=RGB images2026.04 | 14.1 | 10.2 | 21 | 18.9 | 18.4 | 16.5 | |
| IMIR-NetInput=RGB-D images2026.04 | 14.5 | 10.4 | 21.8 | 20.4 | 20 | 17.4 | |
| DPF-NutritionInput=RGB images2026.04 | 14.7 | 10.6 | 22.6 | 20.7 | 20.2 | 17.8 | |
| RGB-D NetInput=RGB-D images2026.04 | 15 | 10.8 | 23.5 | 22.4 | 21 | 18.5 | |
| Portion-NutritionInput=RGB images2026.04 | 15.8 | — | — | — | — | — | |
| Swin-NutritionInput=RGB images2026.04 | 16.2 | 13.7 | 24.9 | 21.8 | 25.4 | 20.4 | |
| Domain Adaptation-NutritionInput=RGB-D images2026.04 | 16.8 | — | — | — | — | — | |
| Google-Nutrition-rgbdInput=RGB-D images2026.04 | 18.8 | 18.9 | 18.1 | 23.8 | 20.9 | 20.1 | |
| CDINetInput=RGB-D images2026.04 | 21.1 | 20.4 | 37.1 | 37.1 | 32.8 | 29.7 | |
| CMXInput=RGB-D images2026.04 | 21.8 | 20.7 | 34.8 | 37 | 33.2 | 29.5 | |
| TriTransNetInput=RGB-D images2026.04 | 22.1 | 20.1 | 37.5 | 34.8 | 38 | 30.5 | |
| Coarse-to-Fine NutritionInput=RGB images2026.04 | 24.1 | 19.4 | 36 | 32.1 | 33.5 | 29 | |
| HINetInput=RGB-D images2026.04 | 24.5 | 25.2 | 43.4 | 39.9 | 38.8 | 34.3 | |
| Google-Nutrition-rgbInput=RGB images2026.04 | 26.1 | 18.8 | 34.2 | 31.9 | 29.5 | 29.1 | |
| DeliverInput=RGB-D images2026.04 | 29.5 | 25.9 | 48.3 | 47.7 | 46.1 | 39.5 | |
| DEFNetInput=RGB-D images2026.04 | 32.7 | 34.2 | 48.9 | 40.3 | 43.8 | 39.9 | |
| RoDEInput=RGB images2026.04 | 52.4 | 38.4 | 67.1 | 47.8 | 53.9 | 51.9 |