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