Object Detection In Aerial Images On Dior R
Métriques
mAP
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | mAP |
|---|---|
| a-billion-scale-foundation-model-for-remote | 73.60 |
| mtp-advancing-remote-sensing-foundation-model | 74.54 |
| mtp-advancing-remote-sensing-foundation-model | 71.29 |
| legnet-lightweight-edge-gaussian-driven | 68.40 |
| mtp-advancing-remote-sensing-foundation-model | 72.17 |
| decouplenet-a-lightweight-backbone-network | 67.08 |
| advancing-plain-vision-transformer-towards | 71.05 |
| lwganet-a-lightweight-group-attention | 68.53 |
| advancing-plain-vision-transformer-towards | 70.85 |