Subsequently, the ROC curve, plotting the true positive rate against the false positive rate, and its associated AUC (Fig. 8) found applicability in remote sensing, where it is used in binary classification scenarios. AUCROC provides an aggregate measure of model performance across all possible ...
We present the detection performance separately by plotting the time-varying cardinality in Figure 3b. The ground truth cardinality is illustrated by the khaki line as well. We can draw conclusions that the OSPA errors mostly result from the estimation bias in the number of targets and miss ...