Bouding box regression in R-CNN (and similar methods)
$begingroup$
Here is the bounding-box regression technique used in R-CNN
What I don't understand is why $t_w$ needs to be $log (G_w / P_w)$ instead of just $G_w / P_w$ (i.e. using normalized coordinates just like $t_x$ and $t_y$)
Can anyone explain it for me ?
regression object-detection
$endgroup$
add a comment |
$begingroup$
Here is the bounding-box regression technique used in R-CNN
What I don't understand is why $t_w$ needs to be $log (G_w / P_w)$ instead of just $G_w / P_w$ (i.e. using normalized coordinates just like $t_x$ and $t_y$)
Can anyone explain it for me ?
regression object-detection
$endgroup$
add a comment |
$begingroup$
Here is the bounding-box regression technique used in R-CNN
What I don't understand is why $t_w$ needs to be $log (G_w / P_w)$ instead of just $G_w / P_w$ (i.e. using normalized coordinates just like $t_x$ and $t_y$)
Can anyone explain it for me ?
regression object-detection
$endgroup$
Here is the bounding-box regression technique used in R-CNN
What I don't understand is why $t_w$ needs to be $log (G_w / P_w)$ instead of just $G_w / P_w$ (i.e. using normalized coordinates just like $t_x$ and $t_y$)
Can anyone explain it for me ?
regression object-detection
regression object-detection
asked 13 mins ago
HOANG GIANGHOANG GIANG
425
425
add a comment |
add a comment |
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