Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection. (arXiv:2012.00257v3 [cs.CV] UPDATED)

Confluence is a novel non-Intersection over Union (IoU) alternative to
Non-Maxima Suppression (NMS) in bounding box post-processing in object
detection. It overcomes the inherent limitations of IoU-based NMS variants to
provide a more stable, consistent predictor of bounding box clustering by using
a normalized Manhattan Distance inspired proximity metric to represent bounding
box clustering. Unlike Greedy and Soft NMS, it does not rely solely on
classification confidence scores to select optimal bounding boxes, instead
selecting the box which is closest …

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