The PASCAL Visual Object Classes Challenge
Related Publications
Listed here are publications which make use of the data/and or evaluation prototocol for the 2005 and 2006
VOC challenge. If you have published a related paper which is not listed here,
please let us know by contacting Mark Everingham, me@comp.leeds.ac.uk.
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A. Agarwal and B. Triggs. Hyperfeatures: Multilevel local coding for visual
recognition. In Proceedings of the 9th European Conference on Computer Vision (ECCV), 2006.
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J. Farquhar, D. Hardoon, H. Meng, and J. Shawe-Taylor. Two view learning:
SVM-2K, theory and practice. In Proceedings of the 9th Annual Conference in Neural Information Processing Systems (NIPS), 2005.
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R. Fergus, L. Fei-Fei, P. Perona, and A. Zisserman. Learning object categories
from google’s image search. In Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV), 2005.
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A. Hanbury. Analysis of keywords used in image understanding tasks. In
Proceedings of the OntoImage Workshop, 2006.
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A. Hegerath, T. Deselaers, and H. Ney. Patch-based object recognition
using discriminatively trained Gaussian mixtures. In Proceedings of the 17th British Machine Vision Conference (BMVC), 2006.
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D. Hoiem, A. Efros, and M. Hebert. Geometric context from a single image.
In Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV), 2005.
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D. Hoiem, A. Efros, and M. Hebert. Putting objects in perspective. In
Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
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I. Laptev. Improvements of object detection using boosted histograms.
In Proceedings of the 17th British Machine Vision Conference (BMVC), 2006.
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M. Mahdaviani. Fast object class recognition., BSc. Thesis, University
of British Columbia, 2005.
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M. Marszalek and C. Schmid. Spatial weighting for bag-of-features. In
Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
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K. Mikolajczyk, B. Leibe, and B. Schiele. Multiple object class detection
with a generative model. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2006.
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F. Moosmann, D. Larlus, and F. Jurie. Learning saliency maps for object
categorization. In Proceedings of the 9th European Conference on Computer Vision (ECCV), 2006.
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K. Murphy, A. Torralba, D. Eaton, and W. T. Freeman. Object detection
and localization using local and global features. In J. Ponce, M. Hebert,
C. Schmid, and A. Zisserman, editors, Toward Category-Level Object Recognition
(Sicily Workshop 2006), LNCS. In press.
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A. Noulas. Visual object class recognition. Master’s thesis, University of
Edinburgh, 2005.
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E. Nowak, F. Jurie, and B. Triggs. Sampling strategies
for bag-of-features image classification. In Proceedings of the 9th European Conference on Computer Vision (ECCV), 2006.
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J. Ponce, T. L. Berg, M. Everingham, D. A. Forsyth, M. Hebert, S. Lazebnik,
M. Marszalek, C. Schmid, B. C. Russell, A. Torralba, C. K. I. Williams,
J. Zhang, and A. Zisserman. Dataset issues in object recognition. In
J. Ponce, M. Hebert, C. Schmid, and A. Zisserman, editors, Toward
Category-Level Object Recognition (Sicily Workshop 2006), LNCS. In press.
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A. Thomas, V. Ferrari, B. Leibe, T. Tuytelaars, B. Schiele, and
L. Van Gool. Towards multi-view object class detection. In Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),
2006.
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A. Torralba, K. P. Murphy, and W. T. Freeman. Sharing visual features
for multiclass and multiview object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), In press.
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J. Winn, A. Criminisi, and T. Minka. Object categorization by learned
universal visual dictionary. In Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV), 2005.
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J. Zhang, M. Marszalek, S. Lazebnik, and C. Schmid. Local features and
kernels for classification of texture and object categories: A comprehensive
study. In Proceedings of the Beyond Patches workshop, in conjunction with CVPR2006, 2006.