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This repository has been archived by the owner on May 28, 2024. It is now read-only.
I can't seem to find where in the code is the score of a pseudo box is being taken into account. Specifically, where can we see the effect of zero scored boxes (those that didn't pass the confidence threshold).
To the best of my inquiry, it is missing from the code, though emphasized in the paper.
Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for the reply!
It seem to me that this eventually removes pseudo boxes with lower scores. But this is different than giving them a zero weight, isn't it?
For instance, if the prediction complies with some lower score box, you will penalize for it as a false detection, rather than ignore it (zero weight). Am I missing something here?
Thank you.
For completeness, I would say that a zero weight is not necessarily equivalent to removing the box. It seems that the formulation in the paper is better expressed in setting these boxes as "don't care" areas.
I can't seem to find where in the code is the score of a pseudo box is being taken into account. Specifically, where can we see the effect of zero scored boxes (those that didn't pass the confidence threshold).
To the best of my inquiry, it is missing from the code, though emphasized in the paper.
Thanks!
The text was updated successfully, but these errors were encountered: