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
$begingroup$
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 18 mins ago
HOANG GIANGHOANG GIANG
425
425
add a comment |
add a comment |
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