A Tree-Based Context Model for Object Recognition

@article{Choi2012ATC,
  title={A Tree-Based Context Model for Object Recognition},
  author={Myung Jin Choi and Antonio Torralba and Alan S. Willsky},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2012},
  volume={34},
  pages={240-252}
}
There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context model can rule out some unlikely combinations or locations of objects and guide detectors to produce a semantically coherent interpretation of a scene. However, the performance benefit of context models has been limited because most of the previous methods were tested on data sets with only a few object categories, in which… CONTINUE READING

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