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A unified neural network model consists of one neural network as opposed to other models that rely on two or more neural networks. For example, from page two of the YOLO paper: 2. Unified Detection We unify the separate components of object detection into a single neural network. Our network uses features from the entire image to predict each bounding box. ...


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