Weakly supervised discriminative localization and classification : a joint learning process

@inproceedings{2009WeaklySD,
  title={Weakly supervised discriminative localization and classification : a joint learning process},
  author={},
  year={2009}
}
  • Published 2009
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first applied to candidate subwindows of the image or the video, and then the maximum classifier score is used for class decision. Traditionally, the subwindow classifiers a re trained on a large collection of examples manually annotated with masks or bounding boxes. The reliance on timeconsuming human labeling effectively… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 32 references

Beyond sliding windows: Object localization by efficient subwindow search

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008
View 9 Excerpts
Highly Influenced

Behavior recognition via sparse spatio-temporal features

2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance • 2005
View 3 Excerpts
Highly Influenced

A discriminatively trained, multiscale, deformable part model

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008

CVX: Matlab software for disciplined convex programming

M. Grant, S. Boyd
(web page & software), • 2008

Facial feature detection with optimal pixel reduction SVM

2008 8th IEEE International Conference on Automatic Face & Gesture Recognition • 2008

and F

M. H. Nguyen, J. Perez
de la Torre. Facial feature detection with optimal pixel reduction SVMs. In Conference on Automatic Face and Gesture Recognition • 2008

An Exemplar Model for Learning Object Classes

2007 IEEE Conference on Computer Vision and Pattern Recognition • 2007

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