Analyzing semantic segmentation using hybrid human-machine CRFS

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

Volumn , Issue , 2013, Pages 3143-3150

  Mottaghi, Roozbeh ^a   Fidler, Sanja ^b   Yao, Jian ^b   Urtasun, Raquel ^b   Parikh, Devi ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b TOYOTA TECHNOLOGICAL INSTITUTE AT CHICAGO   (United States)

^c VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELD; CONTEXTUAL REASONING; IN-DEPTH ANALYSIS; SCENE RECOGNITION; SCENE UNDERSTANDING; SEMANTIC IMAGE SEGMENTATIONS; SEMANTIC SEGMENTATION; STATE-OF-THE-ART PERFORMANCE;

PATTERN RECOGNITION; SEMANTICS;

IMAGE SEGMENTATION;

EID: 84887361716     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.404     Document Type: Conference Paper

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