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Current state-of-the-art methods for image segmentation form a dense image representation where the color, shape and texture information are all processed together inside a deep CNN.
Conditional random fields as recurrent neural networks
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Efficient inference in fully connected crfs with gaussian edge potentials
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Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
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An Exemplar-based CRF for Multi-instance Object Segmentation
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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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 · 2015
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Semantic image segmentation via deep parsing network
Z. Liu, X. Li, P. Luo, C.-C. Loy, and X. Tang · 2015
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Fully Convolutional Networks for Semantic Segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Fully Connected Deep Structured Networks
A. G. Schwing and R. Urtasun · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Bottom-up instance segmentation using deep higher-order crfs
A. Arnab and P. H. Torr · 2016
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Semantic segmentation with boundary neural fields
G. Bertasius, J. Shi, and L. Torresani · 2016
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Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs
S. Chandra and I. Kokkinos · 2016
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Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform
L.-C. Chen, J. T. Barron, G. Papandreou, K. Murphy, and A. L. Yuille · 2016
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The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
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Superpixel convolutional networks using bilateral inceptions
R. Gadde, V. Jampani, M. Kiefel, D. Kappler, and P. V. Gehler · 2016
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Laplacian pyramid reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Learning sparse high dimensional filters: Image filtering, dense crfs and bilateral neural networks
V. Jampani, M. Kiefel, and P. V. Gehler · 2016
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Categorical reparameterization with gumbel-softmax
E. Jang, S. Gu, and B. Poole · 2016
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Efficient piecewise training of deep structured models for semantic segmentation
G. Lin, C. Shen, A. Van Den Hengel, and I. Reid · 2016
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Cross-stitch networks for multi-task learning
I. Misra, A. Shrivastava, A. Gupta, and M. Hebert · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
CASENet: Deep category-aware semantic edge detection
Z. Yu, C. Feng, M.-Y. Liu, and S. Ramalingam · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
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Efficient interactive annotation of segmentation datasets with polygon-rnn++
D. Acuna, H. Ling, A. Kar, and S. Fidler · 2018
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Searching for efficient multi-scale architectures for dense image prediction
L.-C. Chen, M. Collins, Y. Zhu, G. Papandreou, B. Zoph, F. Schroff, H. Adam, and J. Shlens · 2018
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
L. C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
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F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung · 2016
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Conditional image generation with pixelcnn decoders
A. Van den Oord, N. Kalchbrenner, L. Espeholt, O. Vinyals, A. Graves, et al · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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S. Zagoruyko and N. Komodakis · 2016
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Instance-level segmentation for autonomous driving with deep densely connected mrfs
Z. Zhang, S. Fidler, and R. Urtasun · 2016
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Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
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Fusionnet: Edge aware deep convolutional networks for semantic segmentation of remote sensing harbor images
D. Cheng, G. Meng, S. Xiang, and C. Pan · 2017
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L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Adaptive affinity fields for semantic segmentation
T.-W. Ke, J.-J. Hwang, Z. Liu, and S. X. Yu · 2018
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Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
A. Kendall, Y. Gal, and R. Cipolla · 2018
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Recurrent scene parsing with perspective understanding in the loop
S. Kong and C. C. Fowlkes · 2018
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Multinet: Real-time joint semantic reasoning for autonomous driving
M. Teichmann, M. Weber, M. Zoellner, R. Cipolla, and R. Urtasun · 2018
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High-resolution image synthesis and semantic manipulation with conditional gans
T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2018
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Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
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Tree-structured kronecker convolutional networks for semantic segmentation
T. Wu, S. Tang, R. Zhang, and J. Li · 2018
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Deep layer aggregation
F. Yu, D. Wang, E. Shelhamer, and T. Darrell · 2018
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Free-form image inpainting with gated convolution
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2018
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Simultaneous edge alignment and learning
Z. Yu, W. Liu, Y. Zou, C. Feng, S. Ramalingam, B. Vijaya Kumar, and J. Kautz · 2018
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Devil is in the edges: Learning semantic boundaries from noisy annotations
D. Acuna, A. Kar, and S. Fidler · 2019
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Fast interactive object annotation with curve-gcn
H. Ling, J. Gao, A. Kar, W. Chen, and S. Fidler · 2019
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Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
C. Liu, L.-C. Chen, F. Schroff, H. Adam, W. Hua, A. Yuille, and L. Fei-Fei · 2019
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