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2.) I have had the pretrained model evaluated with the changes listed above and sequence 8 with SalsaNext uncertainty. As output, I do not get any percentage values for epistemic uncertainty. Is it intended that the uncertainty values are not output as percentages, since only the mean variance from the monte carlo sampling is calculated? https://github.com/Halmstad-University/SalsaNext/blob/a02fad97d646d4c132266ab79fbaea3ecfc237ed/train/tasks/semantic/modules/user.py#L159
If so, how can the values be interpreted, except that a higher value reflects a higher uncertainty?
If this was not the intention, I know I have an error somewhere
The text was updated successfully, but these errors were encountered:
Thanks for open-sourcing your code!
I have a question about the interpretation of the uncertainty values.
1.) I guess log_var and proj_output should change places like her #34
https://github.com/Halmstad-University/SalsaNext/blob/a02fad97d646d4c132266ab79fbaea3ecfc237ed/train/tasks/semantic/modules/user.py#L154
and
proj_argmax = proj_output[0].argmax(dim=0)
is missing.2.) I have had the pretrained model evaluated with the changes listed above and sequence 8 with SalsaNext uncertainty. As output, I do not get any percentage values for epistemic uncertainty. Is it intended that the uncertainty values are not output as percentages, since only the mean variance from the monte carlo sampling is calculated? https://github.com/Halmstad-University/SalsaNext/blob/a02fad97d646d4c132266ab79fbaea3ecfc237ed/train/tasks/semantic/modules/user.py#L159
If so, how can the values be interpreted, except that a higher value reflects a higher uncertainty?
If this was not the intention, I know I have an error somewhere
The text was updated successfully, but these errors were encountered: