DETR: detection as set prediction · MAAI7602 Applied Computer Vision

DETR predicts a fixed set of answers, one per learned object query. Training matches each annotated object to exactly one query, so duplicates are trained away and NMS is not needed. How can a detector produce exactly one prediction per object without a duplicate-removal step?

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