Semantic Segmentation on FoodSeg103 (test)
46.42mIoUFoodSAM
Evaluation Results
| Method | Links | |
|---|---|---|
| FoodSAMZero-shot=True2023.08 | 46.42 | |
| Best sup.(UB)Supervised=True2023.08 | 45.1 | |
| CAT-Seg-HBackbone scale=Huge, Zero-shot=True2023.08 | 29.06 | |
| SAN-LBackbone scale=Large, Zero-shot=True2023.08 | 24.46 | |
| SAN-BBackbone scale=Base, Zero-shot=True2023.08 | 19.27 | |
| OVSeg-LBackbone scale=Large, Zero-shot=True2023.08 | 16.43 | |
| ZegFormer-BBackbone scale=Base, Zero-shot=True2023.08 | 10.01 | |
| Gr.-SAM-HBackbone scale=Huge, Zero-shot=True2023.08 | 9.97 | |
| OpenSeeD-TBackbone scale=Tiny, Zero-shot=True2023.08 | 9 | |
| ZSSeg-BBackbone scale=Base, Zero-shot=True2023.08 | 8.17 | |
| X-Decoder-TBackbone scale=Tiny, Zero-shot=True2023.08 | 2.61 |