Object Detection Calibration on DX-20
36.6TVDFRCNN-G†
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FRCNN-G†Base Detector=Faster R-CNN, Variant=Proposed framework2026.05 | 36.6 | 29 | 41.3 | 31.7 | 34.8 | |
| FRCNNBase Detector=Faster R-CNN2026.05 | 37.4 | 32 | — | 36.1 | — | |
| YOLOX-DEBase Detector=YOLOX, Variant=DE2026.05 | 37.5 | 8.5 | 47 | 24.3 | 30.8 | |
| FRCNN-GBase Detector=Faster R-CNN, Variant=Gaussian2026.05 | 38.1 | 32.4 | 55.2 | 36.3 | 41.2 | |
| YOLOX-G†Base Detector=YOLOX, Variant=Proposed framework2026.05 | 38.1 | 9.1 | 47.5 | 23.6 | 31.1 | |
| FRCNN-DEBase Detector=Faster R-CNN, Variant=DE2026.05 | 39.7 | 31.5 | 40.2 | 35.5 | 36.8 | |
| RetinaNet-G†Base Detector=RetinaNet, Variant=Proposed framework2026.05 | 40.4 | 29.3 | 44.7 | 25.9 | 35.5 | |
| YOLOXBase Detector=YOLOX2026.05 | 40.6 | 8.4 | — | 24.3 | — | |
| YOLOX-GBase Detector=YOLOX, Variant=Gaussian2026.05 | 40.6 | 8.9 | 51.4 | 24 | 33.1 | |
| RetinaNet-DEBase Detector=RetinaNet, Variant=DE2026.05 | 41.2 | 32.5 | 43.2 | 25.9 | 38.6 | |
| RetinaNetBase Detector=RetinaNet2026.05 | 43.8 | 42.7 | — | 26.6 | — | |
| RetinaNet-GBase Detector=RetinaNet, Variant=Gaussian2026.05 | 44.4 | 45.4 | 51.7 | 25.8 | 42.3 |