Scalable, High-Quality Object Detection

@article{Szegedy2015ScalableHO,
  title={Scalable, High-Quality Object Detection},
  author={Christian Szegedy and Scott E. Reed and Dumitru Erhan and Dragomir Anguelov},
  journal={ArXiv},
  year={2015},
  volume={abs/1412.1441}
}
Current high-quality object detection approaches use the scheme of salience-based object proposal methods followed by post-classification using deep convolutional features. This spurred recent research in improving object proposal methods. However, domain agnostic proposal generation has the principal drawback that the proposals come unranked or with very weak ranking, making it hard to trade-off quality for running time. This raises the more fundamental question of whether high-quality… CONTINUE READING

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