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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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Vol.7, No.3, May, 2004. Mathematical and Natural Sciences. Study on Bilinear Scheme and Application to Three-dimensional Convective Equation (Itaru Hataue and Yosuke Matsuda)

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Vol.7, No.3, May, 2004. Mathematical and Natural Sciences. Study on Bilinear Scheme and Application to Three-dimensional Convective Equation (Itaru Hataue and Yosuke Matsuda)

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Results from ILSVRC and COCO Detection Challenge. COCO (Common Objects in Context) is another popular image dataset. However, it is comparatively sma ller and more curated than alternatives like ImageNet, with a focus on object recognition within the broader context of scene understanding.

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