Discriminatively trained and-or tree models for object detection

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

Volumn , Issue , 2013, Pages 3278-3285

  Song, Xi ^a   Wu, Tianfu ^a,b   Jia, Yunde ^a   Zhu, Song Chun ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

And Or Graph; Latent Structural SVM; Object Detection; Part based Representation

Indexed keywords

AND-OR GRAPH; DYNAMIC PROGRAMMING ALGORITHM; LATENT STRUCTURAL SVM; OBJECT DETECTION; PART-BASED REPRESENTATION; STATE-OF-THE-ART METHODS; STRUCTURAL PARAMETER; WEAKLY ANNOTATED DATA;

DIRECTED GRAPHS; FORESTRY; OPTIMIZATION; TREES (MATHEMATICS);

OBJECT RECOGNITION;

FORESTRY; MATHEMATICS; OPTIMIZATION; TREES;

EID: 84887370087     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.421     Document Type: Conference Paper

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