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CenterNet is key in anchor-free object detection and is the basis for recent advanced object detectors. This video covers how CenterNet operates, its loss functions, and compares different backbone structures. Objects are represented by a center point, with the model providing predictions based on input image dimensions and output stride. The model includes three heads for key point heat maps, local offsets, and object sizes, with heat map values decreasing exponentially from the object center.
