Robust Object Detection On Cityscapes 1
Métriques
mPC [AP]
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | mPC [AP] | Paper Title | Repository |
|---|---|---|---|
| Photometric distortion | 16.9 | YOLOv3: An Incremental Improvement | - |
| AugMix | 18.1 | AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty | - |
| AutoAug-det | 15.8 | Learning Data Augmentation Strategies for Object Detection | - |
| PhysAug | 22.6 | PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection | - |
| OA-Mix | 20.8 | Object-Aware Domain Generalization for Object Detection | - |
| Cutout | 15.7 | Random Erasing Data Augmentation | - |
| OA-DG | 21.8 | Object-Aware Domain Generalization for Object Detection | - |
| Baseline | 15.4 | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | - |
| Stylized Training Data | 17.2 | Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming | - |
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