Two-stage detectors and one-stage detectors represent two fundamental paradigms in the realm of object detection within advanced computer vision. To elucidate the key differences between these paradigms, particularly focusing on Faster R-CNN as a representative of two-stage detectors and RetinaNet as a representative of one-stage detectors, it is imperative to consider their architectures, training efficiencies,