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CenterNet is a milestone in anchor-free object detection, many state-of-the-art detectors are based on it. The video explains how CenterNet works, using a point as a Key Point for bounding boxes. The model predicts object sizes based on input image dimensions, with three heads for key point heat map, local offset, and object size. Heat map values decrease exponentially from the object center, with C channels for different object classes.