Differences in Detection: Explainability Where it Matters

Johannes Theodoridis, Johannes Maucher, Andreas Schilling

We propose Differences in Detection (DnD), an intuitive method to compare two object detection models. Based on the same matching algorithm, it complements the standard metrics of…