Object Detection on VOC-MIX
9LaECE0YOLOX-IR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| YOLOX-IRDetector Architecture=YOLOX, Calibration=Isotonic Regression2026.05 | 9 | 20.6 | |
| FRCNN-IRDetector Architecture=Faster R-CNN, Calibration=Isotonic Regression2026.05 | 10.2 | 20.8 | |
| RetinaNet-IRDetector Architecture=RetinaNet, Calibration=Isotonic Regression2026.05 | 10.7 | 20.8 | |
| YOLOX-PSDetector Architecture=YOLOX, Calibration=Platt Scaling2026.05 | 10.8 | 20.6 | |
| FRCNN-PSDetector Architecture=Faster R-CNN, Calibration=Platt Scaling2026.05 | 11.5 | 20.9 | |
| RetinaNet-PSDetector Architecture=RetinaNet, Calibration=Platt Scaling2026.05 | 12.3 | 21.4 | |
| YOLOX-DEDetector Architecture=YOLOX, Calibration=Deep Ensembles2026.05 | 13.4 | 22.7 | |
| FRCNN-G†Detector Architecture=Faster R-CNN, Calibration=Proposed G†2026.05 | 14.6 | 22.5 | |
| RetinaNet-DEDetector Architecture=RetinaNet, Calibration=Deep Ensembles2026.05 | 14.9 | 24.6 | |
| YOLOX-G†Detector Architecture=YOLOX, Calibration=Proposed G†2026.05 | 14.9 | 23.1 | |
| RetinaNet-G†Detector Architecture=RetinaNet, Calibration=Proposed G†2026.05 | 15.2 | 23.1 | |
| FRCNN-DEDetector Architecture=Faster R-CNN, Calibration=Deep Ensembles2026.05 | 15.7 | 23.3 | |
| RetinaNetDetector Architecture=RetinaNet, Calibration=None2026.05 | 17.5 | 29.3 | |
| YOLOXDetector Architecture=YOLOX, Calibration=None2026.05 | 17.8 | 28.8 | |
| FRCNNDetector Architecture=Faster R-CNN, Calibration=None2026.05 | 18 | 27.5 |