Hi @KFrank,
Your clarification will be appreciated on a similar topic which you had answered in the past.
  
    
    
    Same output when using Multilabel BCE 
  
  
    Hi @KFrank 
Firstly, I would like to appreciate your explanations and contributions. However, I would be glad for the affirmation of gained knowledge from the thread and likewise some clarifications. 

The difference between single label and multi-label multi-class segmentation is the presence overlapping - a case where particular corresponding pixel value(s) for each target classes is/are annotated
The go loss function for single label multi-class is CrossEntropyLoss while for multi-label multi…