Semantic Segmentation On Vaihingen
Métriques
mIoU
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mIoU |
|---|---|
| cmx-cross-modal-fusion-for-rgb-x-semantic | 82.87 |
| segformer-simple-and-efficient-design-for | 75.57 |
| bi-directional-cross-modality-feature | 81.03 |
| 190807919 | 76.75 |
| segformer-simple-and-efficient-design-for | 76.69 |
| efficient-hybrid-transformer-learning-global | 77.24 |
| pyramid-scene-parsing-network | 76.79 |
| lmfnet-an-efficient-multimodal-fusion | 82.49 |
| beyond-rgb-very-high-resolution-urban-remote | 79.56 |
| segformer-simple-and-efficient-design-for | 76.92 |
| encoder-decoder-with-atrous-separable | 72.90 |
| 190807919 | 75.90 |
| feature-pyramid-networks-for-object-detection | 74.86 |