I am looking at a certain project that compares performance on a certain dataset for an object detection problem using YOLOv3 and RetinaNet (or the "SSD_ResNet50_FPN" from TF Model Zoo). Both YOLOv3 and RetinaNet seem to have similar features like detection at scales, skip connections, etc.

So, what is the exact main difference between YOLOv3 and SSD_ResNet50_FPN?


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