Not bad frustrations at all. That said -- IoU is how the final box scores are calculated, that doesn't change how you do feature aggregation, this will happen in basically any technique you use.
Modern SSD/YOLO-style detectors use efficient feature pyramids, you need that to know where to propose where things are in the image.
This sounds a lot like going back to the old school object detection techniques which end up being more inefficient in general, generally very compute inefficient.
Modern SSD/YOLO-style detectors use efficient feature pyramids, you need that to know where to propose where things are in the image.
This sounds a lot like going back to the old school object detection techniques which end up being more inefficient in general, generally very compute inefficient.