Hello everyone!
Currently I’ve started reading the paper of name “CenterNet: Objects as Points”. The general idea is to train a keypoint estimator using heat-map and then extend those detected keypoint to other task such as object detection, human-pose estimation, etc. But the thing that confused me is how to splat the ground truth keypoint onto a heat-map by using Gaussian kernel. Annotation 2020-05-11 162433768×297 93.9 KB  What is object size-adaptive standard deviation? How to calculate the sigma for that formula.
Best regards!