Calibrating Probabilistic Object Detectors with Annotator Disagreement 事件

Calibrating Probabilistic Object Detectors with Annotator Disagreement arXiv:2605.24722v1 Announce Type: new Abstract: High degrees of disagreement among annotators can exist for ambiguous objects, e.g. in medical images, underscoring the challenges of establishing ground truth annotations in object detection tasks. Despite this, all existing object detectors implicitly require access to ground truth annotations for either training or evaluation. The fundamental questions we target are: How can