recently I've studied your code about Stereo RCNN. It's a great pleasure to study such a good method in image-based object detection.
During studying the code, I'm not quite sure about some of them and hope you could explain them...
During training process, the outside (and inside) bounding box weights for dimension orientation was not implemented as other did. why's that?
The inside and outside ws is for masking the negative roi and weighting the different regression term. Thanks for pointing out this. It might be a bug. I will check that.
Hi Peiliang,
recently I've studied your code about Stereo RCNN. It's a great pleasure to study such a good method in image-based object detection. During studying the code, I'm not quite sure about some of them and hope you could explain them...
During training process, the outside (and inside) bounding box weights for dimension orientation was not implemented as other did. why's that?