Bouding box regression in R-CNN (and similar methods)2019 Community Moderator ElectionInput and output feature shapes in CNN for speech recognitionShould the output of regression models, like SVR, be normalized?Preparing ground truth labels for YOLO3Contextual Object DetectionForward or Backward Stepwise RegressionHow to obtain and load a good initial data set for object localization?Training detector without bounding box dataTattoo Image Recognition - Should I Crop Training Data BackgroundMean Absolute Error in Random Forest RegressionBounding box regression in R-CNN

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



2019 Community Moderator ElectionInput and output feature shapes in CNN for speech recognitionShould the output of regression models, like SVR, be normalized?Preparing ground truth labels for YOLO3Contextual Object DetectionForward or Backward Stepwise RegressionHow to obtain and load a good initial data set for object localization?Training detector without bounding box dataTattoo Image Recognition - Should I Crop Training Data BackgroundMean Absolute Error in Random Forest RegressionBounding box regression in R-CNN










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












    $begingroup$


    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






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 18 mins ago









      HOANG GIANGHOANG GIANG

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