Closed try-agaaain closed 7 months ago
Hi @try-agaaain,
great seeing you interested in our work! The aleatoric uncertainty map is directly predicted by the network itself! The network's predictions at inference time, at each pixel (i,j) of the output map, are given by
You can find the architecture's outputs defined here and the NLL loss function is defined here (but also see the other lines of code in said file).
Hoping this helps! Patrick
Hello @PatrickTUM , Thank you for your great work!
In practical scenarios, how is the aleatoric uncertainty map calculated? According to the description in the paper, aleatoric uncertainty prediction comes from the diagonal covariance matrix.
So, is the Aleatoric uncertainty map calculated based on the network output results? Or if it is predicted by the network, how should the corresponding loss function be designed?