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Feature Pyramid Networks for Object Detection comes from FAIR and capitalises on the “ inherent multi-scale, pyramidal hierarchy of deep convolutional networks to construct feature pyramids with marginal extra cost ”, meaning that representations remain powerful without compromising speed or memory. Lin et al. (2016) achieve state-of-the-art (hereafter SOTA) single-model results on COCO.

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