Comments (1)
Hi - sorry for the delay in responding!
If I understand the question: you would expect the predictions for an object moving left to right to be bad because there will be no good match in the cost volume?
Yes you are right that the cost volume will not be able to find a good match - but the teacher network should help train the network to produce sensible depths in these areas. The consistency mask is where the minimum of the cost volume disagrees with the prediction of the teacher network - this should happen both when there is an object moving away/towards the camera and when moving left to right. Of course if the teacher network incorrectly predicts depth for the object, then we will obtain bad predictions.
I hope this helps!
from manydepth.
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from manydepth.