Object detection ensembles as graph cliques

Suppose we have two object detection models, Model A and Model B. Each of them has detected some objects in the image, and each detection has an associated confidence score. Input: For a single image, each detection model independently returns a set of inferences, which are composed of a bounding box, a label, and a confidence score. Let’s consider a hypothetical example with the same two models, but more inferences:
Model A and Model B have detected more objects in this hypothetical image.

Source: medium.com