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We investigate the reasons why context in object detection has limited utility by isolating and evaluating the predictive power of different context cues under ideal conditions in which context provided by an oracle.
Multivalued logics: A uniform approach to inference in artificial intelligence
Matthew Ginsberg · 1988
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Contextual priming for object detection
Antonio Torralba · 2003
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Using the forest to see the trees: A graphical model relating features, objects, and scenes
Kevin P Murphy, Antonio Torralba, and William T. Freeman · 2004
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Support vector machine learning for interdependent and structured output spaces
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, and Yasemin Altun · 2004
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Textonboost: Joint appearance, shape and context modeling for mulit-class object recognition and segmentation
Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi · 2006
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Bilattice-based logical reasoning for human detection
V.D. Shet, J. Neumann, V. Ramesh, and L.S. Davis · 2007
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Object categorization using co-occurrence, location and appearance
Carolina Galleguillos, Andrew Rabinovich, and Serge Belongie · 2008
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An empirical study of context in object detection
Santosh Kumar Divvala, Derek Hoiem, James Hays, Alexei A. Efros, and Martial Hebert · 2009
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Decomposing a scene into geometric and semantically consistent regions
S. Gould, R. Fulton, and D. Koller · 2009
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Exploiting hierarchical context on a large database of object categories
Myung Jin Choi, Joseph J. Lim, Antonio Torralba, and Alan S. Willsky · 2010
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Object detection with discriminatively trained part-based models
Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester, and Deva Ramanan · 2010
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A category-level 3-d object dataset: Putting the kinect to work
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell · 2011
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton · 2012
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Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
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Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation
Jian Yao, Sanja Fidler, and Raquel Urtasun · 2012
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2013
Cited alongside, same era.
Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks
Sean Bell, C. Lawrence Zitnick, Kavita Bala, and Ross B. Girshick · 2015
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Ross B. Girshick · 2015
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Cross modal distillation for supervision transfer
Saurabh Gupta, Judy Hoffman, and Jitendra Malik · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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SUN RGB-D: A RGB-D scene understanding benchmark suite
Shuran Song, Samuel P. Lichtenberg, and Jianxiong Xiao · 2015
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Holistic scene understanding for 3d object detection with rgbd cameras
Dahua Lin, Sanja Fidler, and Raquel Urtasun · 2013
Cited alongside, same era.
SUN3D: A database of big spaces reconstructed using SfM and object labels
Jianxiong Xiao, Andrew Owens, and Antonio Torralba · 2013
Cited alongside, same era.
Learning rich features from RGB-D images for object detection and segmentation
Saurabh Gupta, Ross B. Girshick, Pablo Arbelaez, and Jitendra Malik · 2014
Cited alongside, same era.
The role of context for object detection and semantic segmentation in the wild
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, and Alan Yuille · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Cited alongside, same era.
Show, attend and tell: Neural image caption generation with visual attention
Kelvin Xu, Jimmy Ba, Ryan Kiros, Kyunghyun Cho, Aaron C. Courville, Ruslan Salakhutdinov, Richard S. Zemel, and Yoshua Bengio · 2015
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Object detection in 20 questions
Xi Chen, He He, and Larry S Davis · 2016
Closest in time.
Deep feature based contextual model for object detectionn
Wenqing Chu and Deng Cai · 2016
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Attentive contexts for object detection
Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, and Shuicheng Yan · 2016
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DeepContext: Context-encoding neural pathways for 3D holistic scene understanding
Yinda Zhang, Mingru Bai, Pushmeet Kohli, Shahram Izadi, and Jianxiong Xiao · 2016
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