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In this paper we propose a CNN architecture for semantic image segmentation.
A global geometric framework for nonlinear dimensionality reduction
Tenenbaum, J.B., De Silva, V., Langford, J.C.: · 2000
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Conditional random fields: Probabilistic models for segmenting and labeling sequence data
Lafferty, J.D., McCallum, A., Pereira, F.C.N.: · 2001
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A fast approximation of the bilateral filter using a signal processing approach
Paris, S., Durand, F.: · 2006
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Gaussian kd-trees for fast high-dimensional filtering
Adams, A., Gelfand, N., Dolson, J., Levoy, M.: · 2009
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Deconvolutional networks
Zeiler, M.D., Krishnan, D., Taylor, G.W., Fergus, R.: · 2010
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Fast high-dimensional filtering using the permutohedral lattice
Adams, A., Baek, J., Davis, M.A.: · 2010
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Harmony potentials for joint classification and segmentation
Gonfaus, J.M., Boix, X., Van de Weijer, J., Bagdanov, A.D., Serrat, J., Gonzalez, J.: · 2010
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On parameter learning in CRF-based approaches to object class image segmentation
Nowozin, S., Gehler, P.V., Lampert, C.H.: · 2010
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Efficient inference in fully connected CRFs with Gaussian edge potentials
Krähenbühl, P., Koltun, V.: · 2011
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Domain transform for edge-aware image and video processing
Gastal, E.S., Oliveira, M.M.: · 2011
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Semantic contours from inverse detectors
Hariharan, B., Arbeláez, P., Bourdev, L., Maji, S., Malik, J.: · 2011
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The PASCAL VOC2012 challenge results
Everingham, M., Gool, L.V., Williams, C., Winn, J., Zisserman, A.: · 2012
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Slic superpixels compared to state-of-the-art superpixel methods
Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Susstrunk, S.: · 2012
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Learning graphical model parameters with approximate marginal inference
Domke, J.: · 2013
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Fully-connected crfs with non-parametric pairwise potential
Campbell, N., Subr, K., Kautz, J.: · 2013
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Structured forests for fast edge detection
Dollár, P., Zitnick, C.L.: · 2013
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Network In Network
Lin, M., Chen, Q., Yan, S.: · 2014
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Mean-field networks
Li, Y., Zemel, R.: · 2014
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Human pose estimation with fields of parts
Kiefel, M., Gehler, P.V.: · 2014
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Spatial pyramid pooling in deep convolutional networks for visual recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2014
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Spectral networks and locally connected networks on graphs
Bruna, J., Zaremba, W., Szlam, A., LeCun, Y.: · 2014
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Superpixel graph label transfer with learned distance metric
Semantic image segmentation via deep parsing network
Liu, Z., Li, X., Luo, P., Loy, C.C., Tang, X.: · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Matrix backpropagation for deep networks with structured layers
Ionescu, C., Vantzos, O., Sminchisescu, C.: · 2015
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Supercnn: A superpixelwise convolutional neural network for salient object detection
He, S., Lau, R.W., Liu, W., Huang, Z., Yang, Q.: · 2015
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Feedforward semantic segmentation with zoom-out features
Mostajabi, M., Yadollahpour, P., Shakhnarovich, G.: · 2015
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Fast bilateral-space stereo for synthetic defocus
Barron, J.T., Adams, A., Shih, Y., Hernández, C.: · 2015
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Gould, S., Zhao, J., He, X., Zhang, Y.: · 2014
Cited alongside, same era.
Caffe: Convolutional architecture for fast feature embedding
Jia, Y., Shelhamer, E., Donahue, J., Karayev, S., Long, J., Girshick, R., Guadarrama, S., Darrell, T.: · 2014
Cited alongside, same era.
Microsoft coco: Common objects in context
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: · 2014
Cited alongside, same era.
Semantic image segmentation with deep convolutional nets and fully connected CRFs
Chen, L.C., Papandreou, G., Kokkinos, I., Murphy, K., Yuille, A.L.: · 2015
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Material recognition in the wild with the materials in context database
Bell, S., Upchurch, P., Snavely, N., Bala, K.: · 2015
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Conditional random fields as recurrent neural networks
Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: · 2015
Cited alongside, same era.
Permutohedral lattice CNNs
Kiefel, M., Jampani, V., Gehler, P.: · 2015
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gslicr: Slic superpixels at over 250hz
Ren, C.Y., Prisacariu, V.A., Reid, I.D.: · 2015
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Adam: A method for stochastic optimization
Kingma, D., Ba, J.: · 2015
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The cityscapes dataset
Cordts, M., Omran, M., Ramos, S., Scharwächter, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: · 2015
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Semantic image segmentation with task-specific edge detection using CNNs and a discriminatively trained domain transform
Chen, L.C., Barron, J.T., Papandreou, G., Murphy, K., Yuille, A.L.: · 2016
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Learning sparse high dimensional filters: Image filtering, dense CRFs and bilateral neural networks
Jampani, V., Kiefel, M., Gehler, P.V.: · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
Lin, G., Shen, C., Reid, I., et al.: · 2016
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Multi-scale context aggregation by dilated convolutions
Yu, F., Koltun, V.: · 2016
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The fast bilateral solver
Barron, J.T., Poole, B.: · 2016
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