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Almost all existing deep learning approaches for semantic segmentation tackle this task as a pixel-wise classification problem.
Algorithm as 136: A k-means clustering algorithm
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Backpropagation applied to handwritten zip code recognition
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Signature verification using a” siamese” time delay neural network
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Spectral graph theory
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Color-and texture-based image segmentation using em and its application to content-based image retrieval
Serge Belongie, Chad Carson, Hayit Greenspan, and Jitendra Malik · 1998
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A view of the em algorithm that justifies incremental, sparse, and other variants
Radford M Neal and Geoffrey E Hinton · 1998
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Normalized cuts and image segmentation
Jianbo Shi and Jitendra Malik · 2000
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Contour and texture analysis for image segmentation
Jitendra Malik, Serge Belongie, Thomas Leung, and Jianbo Shi · 2001
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Mean shift: A robust approach toward feature space analysis
Dorin Comaniciu and Peter Meer · 2002
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Multiclass spectral clustering
X Yu Stella and Jianbo Shi · 2003
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Efficient graph-based image segmentation
Pedro F Felzenszwalb and Daniel P Huttenlocher · 2004
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Multiscale conditional random fields for image labeling
Xuming He, Richard S Zemel, and MA Carreira-Perpindn · 2004
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Segmentation given partial grouping constraints
Stella X Yu and Jianbo Shi · 2004
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Clustering on the unit hypersphere using von mises-fisher distributions
Arindam Banerjee, Inderjit S Dhillon, Joydeep Ghosh, and Suvrit Sra · 2005
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Neighbourhood components analysis
Jacob Goldberger, Geoffrey E Hinton, Sam T Roweis, and Ruslan R Salakhutdinov · 2005
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The pyramid match kernel: Discriminative classification with sets of image features
Kristen Grauman and Trevor Darrell · 2005
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
Svetlana Lazebnik, Cordelia Schmid, and Jean Ponce · 2006
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Recognition by association via learning per-exemplar distances
Tomasz Malisiewicz and Alexei A Efros · 2008
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Unsupervised segmentation of natural images via lossy data compression
Allen Y Yang, John Wright, Yi Ma, and S Shankar Sastry · 2008
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Decomposing a scene into geometric and semantically consistent regions
Stephen Gould, Richard Fulton, and Daphne Koller · 2009
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Robust higher order potentials for enforcing label consistency
Pushmeet Kohli, Philip HS Torr, et al · 2009
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Associative hierarchical crfs for object class image segmentation
Lubor Ladicky, Christopher Russell, Pushmeet Kohli, and Philip HS Torr · 2009
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Segmenting scenes by matching image composites
Bryan Russell, Alyosha Efros, Josef Sivic, Bill Freeman, and Andrew Zisserman · 2009
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Textonboost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi · 2009
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Superparsing: scalable nonparametric image parsing with superpixels
Joseph Tighe and Svetlana Lazebnik · 2010
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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 Arbeláez, Lubomir Bourdev, Subhransu Maji, and Jitendra Malik · 2011
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Nonparametric scene parsing via label transfer
Ce Liu, Jenny Yuen, and Antonio Torralba · 2011
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Slic superpixels compared to state-of-the-art superpixel methods
Holistically-nested edge detection
Saining Xie and Zhuowen Tu · 2015
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Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2016
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Attention to scale: Scale-aware semantic image segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, and Alan L Yuille · 2016
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The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
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Superpixel convolutional networks using bilateral inceptions
Raghudeep Gadde, Varun Jampani, Martin Kiefel, Daniel Kappler, and Peter V Gehler · 2016
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Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, Sabine Süsstrunk, et al · 2012
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The PASCAL Visual Object Classes Challenge 2012 (VOC2012) Results
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2012
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Large scale metric learning from equivalence constraints
Martin Koestinger, Martin Hirzer, Paul Wohlhart, Peter M Roth, and Horst Bischof · 2012
Cited alongside, same era.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
Cited alongside, same era.
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.
Learning hierarchical features for scene labeling
Clément Farabet, Camille Couprie, Laurent Najman, and Yann LeCun · 2013
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Fast image scanning with deep max-pooling convolutional neural networks
A. Giusti, D. Ciresan, J. Masci, L.M. Gambardella, and J. Schmidhuber · 2013
Cited alongside, same era.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin, Chunhua Shen, Anton van den Hengel, and Ian Reid · 2016
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Stacked deconvolutional network for semantic segmentation
Jun Fu, Jing Liu, Yuhang Wang, and Hanqing Lu · 2017
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Refinenet: Multi-path refinement networks with identity mappings for high-resolution semantic segmentation
Guosheng Lin, Anton Milan, Chunhua Shen, and Ian Reid · 2017
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Large kernel matters–improve semantic segmentation by global convolutional network
Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, and Jian Sun · 2017
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Normface: l 2 hypersphere embedding for face verification
Feng Wang, Xiang Xiang, Jian Cheng, and Alan Loddon Yuille · 2017
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Sampling matters in deep embedding learning
Chao-Yuan Wu, R Manmatha, Alexander J Smola, and Philipp Krähenbühl · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Encoder-decoder with atrous separable convolution for semantic image segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam · 2018
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Adaptive affinity fields for semantic segmentation
Tsung-Wei Ke, Jyh-Jing Hwang, Ziwei Liu, and Stella X. Yu · 2018
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Recurrent pixel embedding for instance grouping
Shu Kong and Charless Fowlkes · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Cosface: Large margin cosine loss for deep face recognition
Hao Wang, Yitong Wang, Zheng Zhou, Xing Ji, Zhifeng Li, Dihong Gong, Jingchao Zhou, and Wei Liu · 2018
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Improving generalization via scalable neighborhood component analysis
Zhirong Wu, Alexei A Efros, and Stella X Yu · 2018
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Unsupervised feature learning via non-parametric instance-level discrimination
Zhirong Wu, Yuanjun Xiong, Stella Yu, and Dahua Lin · 2018
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Learning a discriminative feature network for semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
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Exfuse: Enhancing feature fusion for semantic segmentation
Zhenli Zhang, Xiangyu Zhang, Chao Peng, Dazhi Cheng, and Jian Sun · 2018
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Adversarial structure matching for structured prediction tasks
Jyh-Jing Hwang, Tsung-Wei Ke, Jianbo Shi, and Stella X Yu · 2019
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Efficient parameter-free clustering using first neighbor relations
M Saquib Sarfraz, Vivek Sharma, and Rainer Stiefelhagen · 2019
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Deeperlab: Single-shot image parser
Tien-Ju Yang, Maxwell D Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, and Liang-Chieh Chen · 2019
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