Hello, the paper has discussed the method of centernes for Retinanet. It is mentioned in the paper that:
"Centerness cannot be directly used in RetinaNet with
Multiple Anchor Boxes per location because one location on
Feature maps has only one center-ness score but different
Anchor boxes on the same location require different "centerness" (note that center-ness is also used as "soft")
For positive/negative samples).
For anchor-based RetinaNet, the IoU score between anchor boxes and ground-truth boxes may serve as an alternative of "center-ness".
I would like to ask you if this IOUscore cannot be calculated using L, T, B and R? Since the centers of all 9 anchors are the same, why not take all 9 anchors as positive samples?I don't quite understand that,please tell me . thanks!
Hello, the paper has discussed the method of centernes for Retinanet. It is mentioned in the paper that: "Centerness cannot be directly used in RetinaNet with Multiple Anchor Boxes per location because one location on Feature maps has only one center-ness score but different Anchor boxes on the same location require different "centerness" (note that center-ness is also used as "soft") For positive/negative samples). For anchor-based RetinaNet, the IoU score between anchor boxes and ground-truth boxes may serve as an alternative of "center-ness". I would like to ask you if this IOUscore cannot be calculated using L, T, B and R? Since the centers of all 9 anchors are the same, why not take all 9 anchors as positive samples?I don't quite understand that,please tell me . thanks!