Comments (3)
How are you handling the loss for occluded landmarks?
I was looking for this detail in the paper but I didn't find anything.According to the face annotation of widerface, we filter the occluded face in the landmark task.
I meant more the case when you have one or two occluded landmarks so a very partial occlusion of the face.
from centerface.
So here:
Different from Box regression, the regression of the five facial landmarks adopts the target normalization method
based on the center position.
So if you have on a face just 4 visibile landmarks are you simply going to exclude that one from the regression?
from centerface.
This Is valid only if you have occluded points in GT.
from centerface.
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from centerface.