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In computer vision, feature pyramid network refers to a detector backbone that combines a top-down pathway with lateral connections to build semantically strong feature maps at every scale. This meaning comes from Lin (2017) in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).[1]
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