SSD: Single Shot MultiBox Detector

Abstract
We present a method for detecting objects in images using a single deep neural network. Our approach, named SSD, discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. At prediction time, the network generates scores for the presence of each object category in each default box and produces adjustments to the box to better match the object shape. Additionally,...
Paper Details
Title
SSD: Single Shot MultiBox Detector
Published Date
Dec 8, 2015
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