Review for NeurIPS paper: RepPoints v2: Verification Meets Regression for Object Detection

It will be better to add more descriptions about RepPoints. It is hard for readers to follow the implementation details described in Sec 3.4 if they are not familiar with RepPoints. What is the meaning of "..., such that the first two points explicitly represent the top-left and bottom-right corner points." In my understanding, the authors still predict n sample points following RepPoints, but they adopt the first two points to do point-bbox transformation. I suggest the authors replace the description of "the first two points" with "the first two points in point sets R and R ". Describe the definition of RepPoints loss in the paper instead of appendix will make it more easy to understand the implementations.