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We present a technique for adding global context to deep convolutional networks for semantic segmentation.
Contextual priming for object detection
Torralba, Antonio · 2003
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
Lazebnik, Svetlana, Schmid, Cordelia, and Ponce, Jean · 2006
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Objects in context
Rabinovich, Andrew, Vedaldi, Andrea, Galleguillos, Carolina, Wiewiora, Eric, and Belongie, Serge · 2007
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Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
Shotton, Jamie, Winn, John, Rother, Carsten, and Criminisi, Antonio · 2009
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Understanding the difficulty of training deep feedforward neural networks
Glorot, Xavier and Bengio, Yoshua · 2010
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Semantic contours from inverse detectors
Hariharan, Bharath, Arbeláez, Pablo, Bourdev, Lubomir, Maji, Subhransu, and Malik, Jitendra · 2011
Earlier work this paper cites.
Nonparametric scene parsing via label transfer
Liu, Ce, Yuen, Jenny, and Torralba, Antonio · 2011
Earlier work this paper cites.
Are spatial and global constraints really necessary for segmentation?
Lucchi, Aurelien, Li, Yunpeng, Boix, Xavier, Smith, Kevin, and Fua, Pascal · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012
Earlier work this paper cites.
Caffe: An open source convolutional architecture for fast feature embedding
Jia, Yangqing · 2013
Cited alongside, same era.
Selective search for object recognition
Uijlings, Jasper RR, van de Sande, Koen EA, Gevers, Theo, and Smeulders, Arnold WM · 2013
Cited alongside, same era.
Semantic image segmentation with deep convolutional nets and fully connected crfs
Chen, Liang-Chieh, Papandreou, George, Kokkinos, Iasonas, Murphy, Kevin, and Yuille, Alan L · 2014
Cited alongside, same era.
The pascal visual object classes challenge: A retrospective
Everingham, Mark, Eslami, SM Ali, Van Gool, Luc, Williams, Christopher KI, Winn, John, and Zisserman, Andrew · 2014
Cited alongside, same era.
Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, Ross, Donahue, Jeff, Darrell, Trevor, and Malik, Jitendra · 2014
Cited alongside, same era.
Feedforward semantic segmentation with zoom-out features
Mostajabi, Mohammadreza, Yadollahpour, Payman, and Shakhnarovich, Gregory · 2014
Later among the works it cites.
The role of context for object detection and semantic segmentation in the wild
Mottaghi, Roozbeh, Chen, Xianjie, Liu, Xiaobai, Cho, Nam-Gyu, Lee, Seong-Whan, Fidler, Sanja, Urtasun, Raquel, and Yuille, Alan · 2014
Later among the works it cites.
Very deep convolutional networks for large-scale image recognition
Simonyan, Karen and Zisserman, Andrew · 2014
Later among the works it cites.
Object detectors emerge in deep scene cnns
Zhou, Bolei, Khosla, Aditya, Lapedriza, Agata, Oliva, Aude, and Torralba, Antonio · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
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Learning rich features from rgb-d images for object detection and segmentation
Gupta, Saurabh, Girshick, Ross, Arbeláez, Pablo, and Malik, Jitendra · 2014
Cited alongside, same era.
Hypercolumns for object segmentation and fine-grained localization
Hariharan, Bharath, Arbeláez, Pablo, Girshick, Ross, and Malik, Jitendra · 2014
Cited alongside, same era.
Spatial pyramid pooling in deep convolutional networks for visual recognition
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2014
Cited alongside, same era.
Fully convolutional networks for semantic segmentation
Long, Jonathan, Shelhamer, Evan, and Darrell, Trevor · 2014
Cited alongside, same era.
Going deeper with convolutions
Szegedy, Christian, Liu, Wei, Jia, Yangqing, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, and Rabinovich, Andrew
Cited in the paper.
Scalable, high-quality object detection
Szegedy, Christian, Reed, Scott, Erhan, Dumitru, and Anguelov, Dragomir
Cited in the paper.
He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Ioffe, Sergey and Szegedy, Christian · 2015
Closest in time.
Efficient piecewise training of deep structured models for semantic segmentation
Lin, Guosheng, Shen, Chunhua, Reid, Ian, et al · 2015
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Fully connected deep structured networks
Schwing, Alexander G and Urtasun, Raquel · 2015
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Conditional random fields as recurrent neural networks
Zheng, Shuai, Jayasumana, Sadeep, Romera-Paredes, Bernardino, Vineet, Vibhav, Su, Zhizhong, Du, Dalong, Huang, Chang, and Torr, Philip · 2015
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