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SSD: Single Shot MultiBox Detector - Computer Science

SSD: Single Shot MultiBox DetectorWei Liu1, Dragomir Anguelov2, Dumitru Erhan3, Christian Szegedy3,Scott Reed4, Cheng-Yang Fu1, Alexander C. Berg11 UNC Chapel Hill2 Zoox of Michigan, present a method for detecting objects in images using a singledeep neural network. Our approach, named SSD, discretizes the output space ofbounding boxes into a set of default boxes over different aspect ratios and scalesper feature map location. At prediction time, the network generates scores for thepresence of each object category in each default box and produces adjustments tothe box to better match the object shape. Additionally, the network combines pre-dictions from multiple feature maps with different resolutions to naturally handleobjects of various sizes.

SSD: Single Shot MultiBox Detector Wei Liu1, Dragomir Anguelov2, Dumitru Erhan3, Christian Szegedy3, Scott Reed4, Cheng-Yang Fu 1, Alexander C. Berg 1UNC Chapel Hill 2Zoox Inc. 3Google Inc. 4University of Michigan, Ann-Arbor 1wliu@cs.unc.edu, 2drago@zoox.com, 3fdumitru,szegedyg@google.com, 4reedscot@umich.edu, 1fcyfu,abergg@cs.unc.edu Abstract. …

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