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The state-of-the-art in semantic segmentation is currently represented by fully convolutional networks (FCNs).
An introduction to the conjugate gradient method without the agonizing pain
Jonathan R Shewchuk · 1994
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Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 1997
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Fast approximate energy minimization via graph cuts
Yuri Boykov, Olga Veksler, and Ramin Zabih · 2001
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A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
D. Martin, C. Fowlkes, D. Tal, and J. Malik · 2001
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Map estimation via agreement on (hyper)trees: Message-passing and linear programming approaches
Martin Wainwright, Tommi Jaakkola, and Alan Willsky · 2002
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Comparison of graph cuts with belief propagation for stereo, using identical mrf parameters
Marshall F. Tappen and William T. Freeman · 2003
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Learning with local and global consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston, and Bernhard Schölkopf · 2004
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Optimizing binary mrfs via extended roof duality
Carsten Rother, Vladimir Kolmogorov, Victor Lempitsky, and Martin Szummer · 2007
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Contour detection and hierarchical image segmentation
Pablo Arbelaez, Michael Maire, Charless Fowlkes, and Jitendra Malik · 2011
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Semantic contours from inverse detectors
Bharath Hariharan, Pablo Arbelaez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Efficient inference in fully connected crfs with gaussian edge potentials
Philipp Krähenbühl and Vladlen Koltun · 2011
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Semantic segmentation with second-order pooling
João Carreira, Rui Caseiro, Jorge Batista, and Cristian Sminchisescu · 2012
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Discriminatively Trained Sparse Code Gradients for Contour Detection
X. Ren and L. Bo · 2012
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Learning hierarchical features for scene labeling
Clement Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
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Sketch tokens: A learned mid-level representation for contour and object detection
Joseph Lim, C. Lawrence Zitnick, and Piotr Dollár · 2013
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Multiscale combinatorial grouping
Pablo Arbelaez, J. Pont-Tuset, Jon Barron, F. Marqués, and Jitendra Malik · 2014
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Learning rich features from RGB-D images for object detection and segmentation
Saurabh Gupta, Ross Girshick, Pablo Arbeláez, and Jitendra Malik · 2014
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Simultaneous detection and segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision
Gedas Bertasius, Jianbo Shi, and Lorenzo Torresani · 2015
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Semantic image segmentation with deep convolutional nets and fully
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L. Yuille · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Fast edge detection using structured forests
Piotr Dollár and C. Lawrence Zitnick · 2015
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Hypercolumns for object segmentation and fine-grained localization
Bharath Hariharan, Pablo Andrés Arbeláez, Ross B. Girshick, and Jitendra Malik · 2015
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Decoupled deep neural network for semi-supervised semantic segmentation
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Crisp boundary detection using pointwise mutual information
Phillip Isola, Daniel Zoran, Dilip Krishnan, and Edward H. Adelson · 2014
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Visual boundary prediction: A deep neural prediction network and quality dissection
Jyri J Kivinen, Christopher KI Williams, and Nicolas Heess · 2014
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Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi, Payman Yadollahpour, and Gregory Shakhnarovich · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Deepedge: A multi-scale bifurcated deep network for top-down contour detection
Gedas Bertasius, Jianbo Shi, and Lorenzo Torresani · 2015
Cited alongside, same era.
Seunghoon Hong, Hyeonwoo Noh, and Bohyung Han · 2015
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Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin, Chunhua Shen, Ian D. Reid, and Anton van den Hengel · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Deepcontour: A deep convolutional feature learned by positive-sharing loss for contour detection
Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, and Zhijiang Zhang · 2015
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Holistically-nested edge detection
Saining Xie and Zhuowen Tu · 2015
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Conditional random fields as recurrent neural networks
Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Vibhav Vineet, Zhizhong Su, Dalong Du, Chang Huang, and Philip Torr · 2015
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