Let's say you you two object detectors -<p>FasterRCNN with Resnet backbone and SSD with Resnet and focal loss.<p>Both have similar loss but difference in mAP. How do you compare these models. Does low loss imply both understand the dataset equally good but the variance aka generalisation is better in the one with high mAp