Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation

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

Volumn , Issue , 2012, Pages 702-709

  Yao, Jian ^a   Fidler, Sanja ^b   Urtasun, Raquel ^a  

^a TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AUXILIARY VARIABLES; HIGH-ORDER; HOLISTIC MODEL; MESSAGE PASSING ALGORITHM; NUMBER OF STATE; OBJECT DETECTION; PRIOR KNOWLEDGE; SCENE CLASSIFICATION; SCENE UNDERSTANDING; SEMANTIC SEGMENTATION; SPATIAL EXTENT; SUBMODULARITY;

ELECTRICAL ENGINEERING; PATTERN RECOGNITION; SOFTWARE ENGINEERING;

COMPUTER VISION;

EID: 84866687133     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247739     Document Type: Conference Paper

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