Weakly supervised top-down image segmentation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 1, Issue , 2006, Pages 1001-1006

  Vasconcelos, Manuela ^a   Carneiro, Gustavo ^b   Vasconcelos, Nuno ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE REGIONS; KEYWORDS; TOP-DOWN SEGMENTATION; TRAINING SETS;

ALGORITHMS; COMPUTER VISION; PROBLEM SOLVING; SET THEORY;

IMAGE SEGMENTATION;

EID: 33845594948     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.333     Document Type: Conference Paper

References (14)

1. E. Borenstein and S. Ullman. Class specific top down-segmentation. ECCV. 2002.
2. R. Duda, P. Hart, and D. Stork. Pattern Classification (2nd Ed.). Wiley, New York. 2001.
3. G. Carneiro and N. Vasconcelos. Formulating semantic image annotation as a supervised learning problem. IEEE CVPR. 2005.
4. P. Duygulu, K. Barnard, and D. Forsyth, and N. Freitas. Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. ECCV. 2002.
5. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
6. M. Kumar, P. Torr, and A. Zisserman. Obj cut. IEEE CVPR. 2005.
7. B. Leibe, A. Leonardis, and B. Schiele. Combined object categorization and segmentation with an implicit shape model. ECCV'04 Workshop on Statistical Learning in Computer Vision. 2004.
8. M. Figueiredo. Bayesian image segmentation using wavelet-based priors. IEEE CVPR. 2005.
9. O. Maron and A. Ratan. Multiple-Instance Learning for Natural Scene Classification. ICML. 1998.
10. D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. ICCV. 2001.
11. J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE PAMI, 22(8):888-905, 2000.
12. J. Simonoff Smoothing methods in statistics Springer-Verlag New York. 1996.
13. N. Vasconcelos. Exploiting group structure to improve retrieval accuracy and speed in image databases. ICIP. 2002.
14. R. Zabih and V. Kolmogorov. Spatially coherent clustering using graph cuts. IEEE CVPR. 2004.