Object parts refer to the individual components or segments of an object that contribute to its overall structure and identity. In the context of feature extraction and hierarchical representations in convolutional neural networks (CNNs), understanding object parts helps in recognizing and differentiating objects based on their constituent features, leading to improved performance in tasks such as object detection and classification.
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