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YOLOv3: Engineering Excellence Through Incremental Improvements
In the world of computer vision, the You Only Look Once (YOLO) family of models is legendary. Known for its blistering speed, YOLO redefined real-time object detection by framing it as a single regression problem. But the journey didn’t stop at one great idea. Following the success of YOLO and YOLOv2, the creators returned with a new iteration: YOLOv3. The 2018 paper YOLOv3: An Incremental Improvement is famous not just for its technical contributions but for its refreshingly candid and humorous tone. The authors don’t claim a massive breakthrough—instead, they present a series of thoughtful, practical updates that collectively create a significantly better detector. It’s a masterclass in engineering and the power of incremental progress. ...