Learning the Compositional Nature of Visual Objects

@article{Ommer2007LearningTC,
  title={Learning the Compositional Nature of Visual Objects},
  author={Bj{\"o}rn Ommer and Joachim M. Buhmann},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-8}
}
The compositional nature of visual objects significantly limits their representation complexity and renders learning of structured object models tractable. Adopting this modeling strategy we both (i) automatically decompose objects into a hierarchy of relevant compositions and we (ii) learn such a compositional representation for each category without supervision. The compositional structure supports feature sharing already on the lowest level of small image patches. Compositions are… CONTINUE READING
Highly Cited
This paper has 55 citations. REVIEW CITATIONS

7 Figures & Tables

Topics

Statistics

05101520082009201020112012201320142015201620172018
Citations per Year

55 Citations

Semantic Scholar estimates that this publication has 55 citations based on the available data.

See our FAQ for additional information.