DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors
Hyungtae Lee,
Heesung Kwon
Abstract:In this paper, we propose a novel and highly practical score-level fusion approach called dynamic belief fusion (DBF ) that directly integrates inference scores of individual detections from multiple object detection methods. To effectively integrate the individual outputs of multiple detectors, the level of ambiguity in each detection score is estimated using a confidence model built on a precision-recall relationship of the corresponding detector. For each detector output, DBF then calculates the probabiliti… Show more
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