What’s Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution

@article{Wang2016WhatsWW,
  title={What’s Wrong with That Object? Identifying Images of Unusual Objects by Modelling the Detection Score Distribution},
  author={Peng Wang and Lingqiao Liu and Chunhua Shen and Zi Huang and Anton van den Hengel and Heng Tao Shen},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={1573-1581}
}
This paper studies the challenging problem of identifying unusual instances of known objects in images within an "open world" setting. That is, we aim to find objects that are members of a known class, but which are not typical of that class. Thus the "unusual object" should be distinguished from both the "regular object" and the "other objects". Such unusual objects may be of interest in many applications such as surveillance or quality control. We propose to identify unusual objects by… CONTINUE READING

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