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Robust Object Detection On Cityscapes 1

Metrics

mPC [AP]

Results

Performance results of various models on this benchmark

Paper Title
PhysAug22.6PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection
OA-DG21.8Object-Aware Domain Generalization for Object Detection
OA-Mix20.8Object-Aware Domain Generalization for Object Detection
AugMix18.1AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Stylized Training Data17.2Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming
Photometric distortion16.9YOLOv3: An Incremental Improvement
AutoAug-det15.8Learning Data Augmentation Strategies for Object Detection
Cutout15.7Random Erasing Data Augmentation
Baseline15.4Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
0 of 9 row(s) selected.
Robust Object Detection On Cityscapes 1 | SOTA | HyperAI