Object Detection On India Driving Dataset
Métriques
mAP@0.5
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mAP@0.5 | Paper Title | Repository |
|---|---|---|---|
| Modèle 1 | 81.1 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection | |
| YOLO-Drone | 59.87 | YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective | - |
| YOLOv5x | 30.3 | YOLO-Drone:Airborne real-time detection of dense small objects from high-altitude perspective | - |
| hybrid incremental net | 31.57 | On Generalizing Detection Models for Unconstrained Environments |
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