Object Detection Calibration on VOC MIX
38.6TVDFRCNN-G†
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FRCNN-G†Base Detector=Faster R-CNN, Variant=Proposed framework2026.05 | 38.6 | 38.4 | 24.6 | 44.7 | 37 | |
| FRCNN-DEBase Detector=Faster R-CNN, Variant=DE2026.05 | 40.3 | 36.5 | 23.9 | 43.7 | 36.5 | |
| FRCNNBase Detector=Faster R-CNN2026.05 | 41.8 | 38.4 | — | 56.9 | — | |
| YOLOX-DEBase Detector=YOLOX, Variant=DE2026.05 | 47.8 | 10.2 | 50.5 | 43.2 | 40 | |
| FRCNN-GBase Detector=Faster R-CNN, Variant=Gaussian2026.05 | 49.6 | 39.7 | 26 | 48 | 41.5 | |
| YOLOX-GBase Detector=YOLOX, Variant=Gaussian2026.05 | 53 | 10.4 | 56.5 | 45.3 | 43.8 | |
| YOLOX-G†Base Detector=YOLOX, Variant=Proposed framework2026.05 | 55.2 | 10.3 | 50.4 | 39.9 | 41.2 | |
| YOLOXBase Detector=YOLOX2026.05 | 57 | 10.6 | — | 42.4 | — | |
| RetinaNet-DEBase Detector=RetinaNet, Variant=DE2026.05 | 60.4 | 37 | 49.4 | 36.3 | 46.8 | |
| RetinaNet-GBase Detector=RetinaNet, Variant=Gaussian2026.05 | 64.1 | 40 | 56.7 | 38.1 | 50.9 | |
| RetinaNet-G†Base Detector=RetinaNet, Variant=Proposed framework2026.05 | 64.6 | 33.1 | 50.8 | 37.3 | 48 | |
| RetinaNetBase Detector=RetinaNet2026.05 | 66.2 | 39.3 | — | 40 | — |