1. The descriptions in joint inference is not very clear. I cannot get how the refine process do according to Equ. 2. It would be great if the authors can clear this part during the rebuttal and polish this part in the final version. 2. I have some doubts about the definations in Table1. What's the different between anchor-based regression and the regression in RepPoints? in RetinaNet, there is also only a one-shot regression. And in ATSS, this literature has proved that the regression methods do not influence a lot. The method that directly regresses [w, h] to the center point is good enough. While RepPoints regresses distance to the location of feature maps. I think there is no obvious difference between the two methods. I hope the authors can clarify this problem. If not, the motivations here is not solid enough. 3. It would be great if the authors can analyze the computational costs and inference speeds for the proposed method.
2. I have some doubts about the definations in Table1. What's the different between anchor-based regression and the regression in RepPoints? in RetinaNet, there is also only a one-shot regression. And in ATSS, this literature has proved that the regression methods do not influence a lot. The method that directly regresses [w, h] to the center point is good enough. While RepPoints regresses distance to the location of feature maps. I think there is no obvious difference between the two methods. I hope the authors can clarify this problem. If not, the motivations here is not solid enough.