Discriminative structure learning of hierarchical representations for object detection

@article{Schnitzspan2009DiscriminativeSL,
  title={Discriminative structure learning of hierarchical representations for object detection},
  author={Paul Schnitzspan and Mario Fritz and Stefan Roth and Bernt Schiele},
  journal={2009 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2009},
  pages={2238-2245}
}
A variety of flexible models have been proposed to detect objects in challenging real world scenes. Motivated by some of the most successful techniques, we propose a hierarchical multi-feature representation and automatically learn flexible hierarchical object models for a wide variety of object classes. To that end we not only rely on automatic selection of relevant individual features, but go beyond previous work by automatically selecting and modeling complex, long-range feature couplings… CONTINUE READING
Highly Cited
This paper has 77 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.
48 Citations
24 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 48 extracted citations

77 Citations

01020'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 77 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Understanding belief propagation and its generalizations

  • J. Yedidia, W. Freeman, Y. Weiss
  • In Exploring Artificial Intelligence in the New…
  • 2003
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…