SSD: Single Shot MultiBox Detector

Liu, Wei, Anguelov, Dragomir, Erhan, Dumitru, Szegedy, Christian, Reed, Scott · European Conference on Computer Vision · 2015

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Summary

The 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, which makes SSD easy to train and straightforward to integrate into systems that require a detection component.

Type: preprint
Published: 2015-12-08
Cited by: 35,936
References: 34
Access: Open access
DOI: https://doi.org/10.48550/arxiv.1512.02325
arXiv: https://arxiv.org/abs/1512.02325
OpenAlex: https://openalex.org/W6947681574
Semantic Scholar: https://api.semanticscholar.org/CorpusID:2141740

Keywords

Pascal (unit), Object detection, Resampling, Detector, Single shot

References

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Scalable, High-Quality Object DetectionChristian Szegedy, Scott Reed, Dumitru Erhan — 2014
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Hypercolumns for object segmentation and fine-grained localizationBharath Hariharan, Pablo Arbeláez, Ross Girshick — 2014
Scalable Object Detection Using Deep Neural NetworksDumitru Erhan, Christian Szegedy, Alexander Toshev — 2013
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