Weakly supervised learning for attribute localization in outdoor scenes

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

Volumn , Issue , 2013, Pages 3111-3118

  Wang, Shuo ^a,b   Joo, Jungseock ^b   Wang, Yizhou ^a   Zhu, Song Chun ^b  

^a Peking University   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

attribute localization; Hierarchical Space Tiling (HST); scene configuration

Indexed keywords

APPEARANCE MODELING; ATTRIBUTE LOCALIZATION; ATTRIBUTE RECOGNITION; HIERARCHICAL COMPOSITION; HIERARCHICAL SPACE TILING (HST); NON-MAXIMUM SUPPRESSION; SCENE CONFIGURATION; WEAKLY SUPERVISED LEARNING;

FORESTRY;

FACE RECOGNITION;

FORESTRY; IMAGE ANALYSIS;

EID: 84887393201     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.400     Document Type: Conference Paper

References (18)

1. A. Oliva and A. Torralba. Modeling the shape of the scene: a holistic representation of the spatial envelope. IJCV, 2001.
2. B. Babenko, N. Varma, P. Dollar, and S. Belongie. Multiple instance learning with manifold bags. ICML, 2011.
3. T. Berg and A. Berg. Automatic attribute discovery and characterization from noisy web images. ECCV, 2010.
4. C. Liu, J. Yuen, and A. Torralba. Nonparametric scene parsing: label transfer via dense scene alignment. CVPR, 2009.
5. D. Parikh and K. Grauman. Relative attributes. ICCV, 2011.
6. A. Farhadi, I. Endres, D. Hoiem, and D. A. Forsyth. Describing objects by their attributes. CVPR, 2009.
7. G. Patterson and J. Hays. Sun attribute database: discovering, annotating, and recognizing scene attributes. CVPR, 2012.
8. J. Zhu, T. F. Wu, S. C. Zhu, X. K. Yang, and W. J. Zhang. Learning reconfigurable scene representation by tangram model. WACV, 2012.
9. G. Kulkarni, V. Premraj, S. Dhar, S. Li, Y. Choi, A. C. Berg, and T. L. Berg. Babytalk: understanding and generating simple image descriptions. CVPR, 2011.
10. C. H. Lampert, M. B. Blaschko, and T. Hofmann. Beyond sliding windows: object localization by efficient subwindow search. CVPR, 2008.
11. L. Fei-Fei and P. Perona. A bayesian hierarchical model for learning natural scene categories. CVPR, 2005.
12. V. Ordonez, G. Kulkarni, and T. Berg. Im2text: describing images using 1 million captioned photographs. NIPS, 2011.
13. P. Felzenszwalb and D. Huttenlocher. Efficient graph-based image segmentation. IJCV, 2004.
14. G. Salton and M. McGill. Introduction to modern information retrieval. McGraw-Hill, 1986.
15. S. C. Zhu and D. Mumford. A stochastic grammar of images. Found. Trends. Comput. Graph. Vis., 2006.
16. S. Lazebnik, C. Schmid, and J. Ponce. Beyond bags of features: spatial pyramid matching for recognizing natural scene categories. CVPR, 2006.
17. S. Wang, Y. Wang, and S. C. Zhu. Hierarchical space tiling in scene modeling. ACCV, 2012.
18. J. Xiao, J. Hays, K. Ehinger, A. Oliva, and A. Torralba. Sun database: Large-scale scene recognition from abbey to zoo. CVPR, 2010.