Object Detection In Aerial Images On Hrsc2016
Métriques
mAP-07
mAP-12
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mAP-07 | mAP-12 | Paper Title | Repository |
|---|---|---|---|---|
| LSKNet-S | 90.65 | 98.46 | Large Selective Kernel Network for Remote Sensing Object Detection | - |
| CDLA-HOP | 90.89 | 98.77 | Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal | - |
| RSP-ResNet-50-FPN-ORCN | 90.3 | - | An Empirical Study of Remote Sensing Pretraining | - |
| RSP-Swin-T-FPN-ORCN | 90.0 | - | An Empirical Study of Remote Sensing Pretraining | - |
| IMP-ViTAEv2-S-FPN-ORCN | 90.4 | - | An Empirical Study of Remote Sensing Pretraining | - |
| RTMDet-R-tiny | 90.6 | 97.10 | RTMDet: An Empirical Study of Designing Real-Time Object Detectors | - |
| Strip R-CNN | 90.6 | 98.70 | Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection | - |
| STD+ViT-B | 90.67 | 98.55 | Spatial Transform Decoupling for Oriented Object Detection | - |
| RSP-ViTAEv2-S-FPN-ORCN | 90.4 | - | An Empirical Study of Remote Sensing Pretraining | - |
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