| Benchmark | Model | Rank | Results |
|---|---|---|---|
| 2d-object-detection-on-sardet-100k | F-RCNN | #9 | box mAP: 49.0 |
| object-counting-on-carpk | Faster R-CNN (2015) | #10 | MAE: 39.88RMSE: 47.67 |
| object-detection-on-coco-o | Faster R-CNN (ResNet-50-FPN) | #40 | Average mAP: 16.4Effective Robustness: -0.41 |
| object-detection-on-ua-detrac | Faster R-CNN | #7 | mAP: 58.45 |
| robust-object-detection-on-cityscapes-1 | Baseline | #13 | mPC [AP]: 15.4 |
| vessel-detection-on-vessel-detection-dateset | Faster RCNN | #1 | AP: 64.3% |