Bouding box regression in R-CNN (and similar methods)

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Here is the bounding-box regression technique used in R-CNN



enter image description hereenter image description here



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 ?










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$endgroup$

















    0












    $begingroup$


    Here is the bounding-box regression technique used in R-CNN



    enter image description hereenter image description here



    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 ?










    share|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      Here is the bounding-box regression technique used in R-CNN



      enter image description hereenter image description here



      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 ?










      share|improve this question









      $endgroup$




      Here is the bounding-box regression technique used in R-CNN



      enter image description hereenter image description here



      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






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      share|improve this question











      share|improve this question




      share|improve this question










      asked 13 mins ago









      HOANG GIANGHOANG GIANG

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