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CenterNet is a milestone in anchor-free object detection, with recent state-of-the-art detectors based on its fundamentals. This video explores how CenterNet works, representing objects as a point known as a Key Point, which is the bounding box center. The model outputs predictions based on input image dimensions and model output stride, with three heads for key point heat map, local offset, and object size. Heat map values are assigned using an exponential distance, decreasing as it moves away from the object center.
