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CenterNet is a key milestone in anchor-free object detection, with recent state-of-the-art detectors built on this framework. This tutorial covers the fundamentals of CenterNet, including how it represents objects as key points and the structure of its output. The model has three heads for key point heat maps, local offset, and object size, with heat map values assigned using an exponential distance from the object center. Understanding CenterNet is essential for effective object detection.
