I am studying Object detection and was going through the 2018 part 2 SSD notebook and the new Retinanet notebook. Both implementations set a custom bias for classifier head of object detection. In SSD, the bias is -3, and in Retinanet, it is -4.
What is the reason for setting this custom bias for classifier head? Also, is there any specific reason behind the numbers -3 and -4?