SSD: Single Shot MultiBox Detector

@inproceedings{Liu2016SSDSS,
  title={SSD: Single Shot MultiBox Detector},
  author={Weiwei Liu and Dragomir Anguelov and Dumitru Erhan and Christian Szegedy and Scott E. Reed and Cheng-Yang Fu and Alexander C. Berg},
  booktitle={ECCV},
  year={2016}
}
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, the network combines predictions from multiple… CONTINUE READING

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