The Role of Context for Object Detection and Semantic Segmentation in the Wild

In this paper we study the role of context in existing state-of-the-art detection and segmentation approaches. Towards this goal, we label every pixel of PASCAL VOC 2010 detection challenge with a semantic category. We believe this data will provide plenty of challenges to the community, as it conta...

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Veröffentlicht in:	2014 IEEE Conference on Computer Vision and Pattern Recognition S. 891 - 898
Hauptverfasser:	Mottaghi, Roozbeh, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Fidler, Sanja, Urtasun, Raquel, Yuille, Alan
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2014
Schlagworte:	Buildings Categories Communities Computer vision Conferences Context Context modeling Image segmentation Object detection Pascal (programming language) Pattern recognition Segmentation Semantics State of the art Vegetation
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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