Semantic Segmentation On Isaid
Metriken
mIoU
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | mIoU |
|---|---|
| advancing-plain-vision-transformer-towards | 64.49 |
| foreground-aware-relation-network-for-1 | 63.71 |
| aerialformer-multi-resolution-transformer-for | 68.4 |
| segnext-rethinking-convolutional-attention | 70.3 |
| farseg-foreground-aware-relation-network-for | 66.3 |
| an-empirical-study-of-remote-sensing | 61.6 |
| segnext-rethinking-convolutional-attention | 68.8 |
| resolution-aware-design-of-atrous-rates-for | 67.03 |
| segnext-rethinking-convolutional-attention | 69.9 |
| segnext-rethinking-convolutional-attention | 68.3 |
| advancing-plain-vision-transformer-towards | 63.85 |
| an-empirical-study-of-remote-sensing | 65.3 |
| farseg-foreground-aware-relation-network-for | 67.9 |
| farseg-foreground-aware-relation-network-for | 67.6 |
| factseg-foreground-activation-driven-small | 64.79 |
| an-empirical-study-of-remote-sensing | 64.1 |
| aerialformer-multi-resolution-transformer-for | 67.5 |
| aerialformer-multi-resolution-transformer-for | 69.3 |
| an-empirical-study-of-remote-sensing | 64.3 |