Faster R-CNN is a two-stage detector, with high accuracy but slow speed; YOLO unifies detection into a regression problem, making it extremely fast; the difference between the two is essentially the trade-off between "find first, then judge" and "one step to the end," with the YOLO series being more popular in real-time scenarios, while two-stage methods still hold a place on accuracy-sensitive academic benchmarks.