Semantic Segmentation On Potsdam
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mIoU |
|---|---|
| bi-directional-cross-modality-feature | 84.28 |
| efficient-hybrid-transformer-learning-global | 85.18 |
| pyramid-scene-parsing-network | 82.98 |
| feature-pyramid-networks-for-object-detection | 82.99 |
| lmfnet-an-efficient-multimodal-fusion | 86.39 |
| segformer-simple-and-efficient-design-for | 84.37 |
| lmfnet-an-efficient-multimodal-fusion | 85.51 |
| segformer-simple-and-efficient-design-for | 83.67 |
| segformer-simple-and-efficient-design-for | 84.65 |
| cmx-cross-modal-fusion-for-rgb-x-semantic | 85.97 |
| beyond-rgb-very-high-resolution-urban-remote | 84.36 |