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In Section 4.3, how is YOLO used to rescore a Fast R-CNN detection?
The two models' bounding-box coordinates are averaged for every detection.
YOLO is retrained using Fast R-CNN’s region proposals.
If YOLO predicts a similar box, the Fast R-CNN detection is boosted using YOLO's predicted probability and the overlap between the boxes.
The Fast R-CNN detection is deleted whenever YOLO predicts a similar box.
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