Machine Learning, Deep Learning.
Output = (class-agonistic) bounding box (x, y, w, h) and “objectiveness” (or “class probability” for SSD) Note that it does not directly predict the bounding box but the “modification” necessary to morph the “anchors” to the ground truth. Loss = Difference of ground truth and prediction if the