A joint learning framework for attribute models and object descriptions

  title={A joint learning framework for attribute models and object descriptions},
  author={Dhruv Kumar Mahajan and Sundararajan Sellamanickam and Vinod Nair},
  journal={2011 International Conference on Computer Vision},
We present a new approach to learning attribute-based descriptions of objects. Unlike earlier works, we do not assume that the descriptions are hand-labeled. Instead, our approach jointly learns both the attribute classifiers and the descriptions from data. By incorporating class information into the attribute classifier learning, we get an attribute-level representation that generalizes well to both unseen examples of known classes and unseen classes. We consider two different settings, one… CONTINUE READING
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