Object Detection Calibration on VBD-CXR
38TVDFRCNN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FRCNNBase Detector=Faster R-CNN2026.05 | 38 | 40.1 | — | 45.5 | — | |
| FRCNN-GBase Detector=Faster R-CNN, Variant=Gaussian2026.05 | 39 | 41 | 22.6 | 46 | 37.7 | |
| FRCNN-DEBase Detector=Faster R-CNN, Variant=DE2026.05 | 39.7 | 29.2 | 18.7 | 45.8 | 34.1 | |
| YOLOX-DEBase Detector=YOLOX, Variant=DE2026.05 | 40.4 | 8.8 | 58.9 | 41.6 | 39.9 | |
| YOLOXBase Detector=YOLOX2026.05 | 43.2 | 9.3 | — | 41.3 | — | |
| YOLOX-GBase Detector=YOLOX, Variant=Gaussian2026.05 | 43.5 | 9.5 | 65.6 | 41.5 | 43.4 | |
| FRCNN-G†Base Detector=Faster R-CNN, Variant=Proposed framework2026.05 | 44.9 | 27.3 | 19 | 44.8 | 35 | |
| RetinaNet-G†Base Detector=RetinaNet, Variant=Proposed framework2026.05 | 46 | 33.6 | 28.7 | 40.1 | 37.4 | |
| YOLOX-G†Base Detector=YOLOX, Variant=Proposed framework2026.05 | 47.2 | 7.7 | 59.6 | 41 | 41.6 | |
| RetinaNet-DEBase Detector=RetinaNet, Variant=DE2026.05 | 47.3 | 33.8 | 26 | 42.3 | 37.9 | |
| RetinaNetBase Detector=RetinaNet2026.05 | 48.1 | 34.1 | — | 42.2 | — | |
| RetinaNet-GBase Detector=RetinaNet, Variant=Gaussian2026.05 | 48.5 | 34.5 | 27.5 | 49.3 | 40.7 |