Cross-Modal Joint Confidence Calibration using global visual prototypes can improve text-driven known-class predictions in object detection

Cross-Modal Joint Confidence Calibration injects global visual prototypes to calibrate text-driven known-class predictions

http://arxiv.org/abs/2608.27214v1