The role of context for object detection and semantic segmentation in the wild

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

Volumn , Issue , 2014, Pages 891-898

  Mottaghi, Roozbeh ^a   Chen, Xianjie ^b   Liu, Xiaobai ^b   Cho, Nam Gyu ^c   Lee, Seong Whan ^c   Fidler, Sanja ^d   Urtasun, Raquel ^d   Yuille, Alan ^b  

^a STANFORD UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Korea University   (South Korea)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

OBJECT RECOGNITION; SEMANTICS;

CONTEXTUAL REASONING; DEFORMABLE PART-BASED MODELS; DETECTING OBJECTS; LOCAL CONTEXTS; NEAREST NEIGHBORS; SEMANTIC CATEGORY; SEMANTIC SEGMENTATION; STATE OF THE ART;

OBJECT DETECTION;

EID: 84911444024     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2014.119     Document Type: Conference Paper

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