Semantic Segmentation on FoodSeg103
46.42mIoUFoodSAM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| FoodSAM2023.08 | 46.42 | 84.1 | 58.27 | |
| SETRbaseline=true2023.08 | 45.1 | 83.53 | 57.44 | |
| CCNetFinetune=true2023.08 | 41.3 | 87.7 | 53.8 | |
| STPPN2023.08 | 40.3 | 82.13 | 53.98 | |
| Upernet2023.08 | 39.8 | 82.02 | 52.37 | |
| Window Attention2023.08 | 31.4 | 77.62 | 40.3 | |
| ReLeM-FPNFinetune=true2023.08 | 30.8 | 78.9 | 40.7 | |
| ReLeM-CCNet2023.08 | 29.2 | 79.3 | 47.5 | |
| CCNet2023.08 | 28.6 | 78.9 | 47.8 | |
| FPN2023.08 | 27.28 | 75.23 | 36.7 |