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We propose a novel superpixel-based multi-view convolutional neural network for semantic image segmentation.
Learning representations by back-propagating errors
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Efficient hierarchical graph based video segmentation
M. Grundmann, V. Kwatra, M. Han, and I. Essa · 2010
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Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Semantic segmentation using regions and parts
P. Arbeláez, B. Hariharan, C. Gu, S. Gupta, L. Bourdev, and J. Malik · 2012
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Indoor segmentation and support inference from rgbd images
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Indoor semantic segmentation using depth information
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Structured forests for fast edge detection
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A unified video segmentation benchmark: Annotation, metrics and analysis
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Perceptual organization and recognition of indoor scenes from rgb-d images
S. Gupta, P. Arbelaez, and J. Malik · 2013
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Sun3d: A database of big spaces reconstructed using sfm and object labels
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Semantic image segmentation with deep convolutional nets and fully connected crfs
L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2014
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Learning rich features from rgb-d images for object detection and segmentation
S. Gupta, R. Girshick, P. Arbeláez, and J. Malik · 2014
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Dense 3d semantic mapping of indoor scenes from rgb-d images
A. Hermans, G. Floros, and B. Leibe · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
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Network in network
M. Lin, Q. Chen, and S. Yan · 2014
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The role of context for object detection and semantic segmentation in the wild
R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fidler, R. Urtasun, and A. Yuille · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Multi-modal unsupervised feature learning for rgb-d scene labeling
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Scene labeling with lstm recurrent neural networks
W. Byeon, T. M. Breuel, F. Raue, and M. Liwicki · 2015
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Convolutional feature masking for joint object and stuff segmentation
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Dense real-time mapping of object-class semantics from rgb-d video
J. Stückler, B. Waldvogel, H. Schulz, and S. Behnke · 2015
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Conditional random fields as recurrent neural networks
S. Zheng, S. Jayasumana, B. Romera-Paredes, V. Vineet, Z. Su, D. Du, C. Huang, and P. Torr · 2015
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Higher order conditional random fields in deep neural networks
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Region-based semantic segmentation with end-to-end training
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L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2016
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Superpixel convolutional networks using bilateral inceptions
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Semantic segmentation of rgbd images with mutex constraints
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
D. Eigen and R. Fergus · 2015
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A. Kendall, B. Vijay, and R. Cipolla · 2015
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Efficient piecewise training of deep structured models for semantic segmentation
G. Lin, C. Shen, I. Reid, et al · 2015
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Parsenet: Looking wider to see better
W. Liu, A. Rabinovich, and A. C. Berg · 2015
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Semantic image segmentation via deep parsing network
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R. Gadde, V. Jampani, M. Kiefel, and P. V. Gehler · 2016
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Feature space optimization for semantic video segmentation
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Lstm-cf: Unifying context modeling and fusion with lstms for rgb-d scene labeling
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Can ground truth label propagation from video help semantic segmentation?
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Dag-recurrent neural networks for scene labeling
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Learning common and specific features for rgb-d semantic segmentation with deconvolutional networks
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Multi-scale context aggregation by dilated convolutions
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