googlebot:

proach. Basically, cross-entropy formula matches categorical distribution density (NLL), and MSE - gaussian with scale 1. S


Thanks for your reply! I do this with retinanet which they separate regression and classification problems（not sharing features) !
By the way ,What should I do to make regression part better , my idea is to use 0.7 for regression and 0.3 for classification since  I want the regression decrease more.Correct me if I am wrong ,Thanks in advance!