High performance object detection by collaborative learning of Joint Ranking of Granules features

@article{Huang2010HighPO,
  title={High performance object detection by collaborative learning of Joint Ranking of Granules features},
  author={Chang Huang and Ramakant Nevatia},
  journal={2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year={2010},
  pages={41-48}
}
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of APCF features [3], which we term Joint Ranking of Granules (JRoG) features; the features consists of discrete values by uniting binary ranking results of pair-wise granules in the image. We propose a novel collaborative learning method for JRoG features, which consists of a Simulated Annealing (SA) module and an… CONTINUE READING

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