Semantic Hierarchies for Visual Object Recognition

@article{Marszalek2007SemanticHF,
  title={Semantic Hierarchies for Visual Object Recognition},
  author={Marcin Marszalek and Cordelia Schmid},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-7}
}
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior knowledge about inter-class relationships into the visual appearance learning. We show how to build and train a semantic hierarchy of discriminative classifiers and how to use it to perform object detection. We evaluate how our approach influences the classification accuracy and speed on the Pascal VOC challenge 2006… CONTINUE READING
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The 2006 PASCAL visual object classes challenge

  • M. Everingham, L. V. Gool, C. Williams, A. Zisserman
  • In The PASCAL Visual Object Classes Challenge…
  • 2006
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