Hi , I have a question about MultiBoxTarget layer.
Why ssd uses MultiBoxTarget layer to do things like assigning positive and negative samples?
I think these processings could be done when making a dataset, because all the default boxes are fixed, so I might just match these default boxes to image's ground truth bounding box. This way would save a lot of time during training.
Is there anything wrong with this idea?
Hi , I have a question about MultiBoxTarget layer. Why ssd uses MultiBoxTarget layer to do things like assigning positive and negative samples? I think these processings could be done when making a dataset, because all the default boxes are fixed, so I might just match these default boxes to image's ground truth bounding box. This way would save a lot of time during training. Is there anything wrong with this idea?