Closed sieu-n closed 3 years ago
I am also confused by this... how is the loss measured for this belief map
The background is the P+1 belief map. It is calculated by generating a map as the max across the previous heatmaps and then swapping black for white pixels
I was reading the paper "Convolutional Pose Machines" and couldn't understand why the model outputted P+1 channels including the channel for the background. What do you intend by predicting the background, and how is the background prediction evaluated?
Sorry if this is an obvious question.