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The recent integration of attention mechanisms into segmentation networks improves their representational capabilities through a great emphasis on more informative features.
An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
Y. Boykov and V. Kolmogorov · 2004
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Graph cuts and efficient nd image segmentation
Y. Boykov and G. Funka-Lea · 2006
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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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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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2015
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Boxsup: Exploiting bounding boxes to supervise convolutional networks for semantic segmentation
J. Dai, K. He, and J. Sun · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. A. Eslami, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2015
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Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, 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
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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Learning deconvolution network for semantic segmentation
H. Noh, S. Hong, and B. Han · 2015
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 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. H. Torr · 2015
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Higher order conditional random fields in deep neural networks
A. Arnab, S. Jayasumana, S. Zheng, and P. H. Torr · 2016
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Attention to scale: Scale-aware semantic image segmentation
L.-C. Chen, Y. Yang, J. Wang, W. Xu, and A. L. Yuille · 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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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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Gaussian conditional random field network for semantic segmentation
R. Vemulapalli, O. Tuzel, M.-Y. Liu, and R. Chellapa · 2016
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Semantic understanding of scenes through the ade20k dataset
B. Zhou, H. Zhao, X. Puig, T. Xiao, S. Fidler, A. Barriuso, and A. Torralba · 2016
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
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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
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Dual attention network for scene segmentation
J. Fu, J. Liu, H. Tian, Z. Fang, and H. Lu · 2018
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Gather-excite: Exploiting feature context in convolutional neural networks
J. Hu, L. Shen, S. Albanie, G. Sun, and A. Vedaldi · 2018
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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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Xception: Deep learning with depthwise separable convolutions
F. Chollet · 2017
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
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Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. Reid · 2017
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Deep dual learning for semantic image segmentation
P. Luo, G. Wang, L. Lin, and X. Wang · 2017
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
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Multi-scale context intertwining for semantic segmentation
D. Lin, Y. Ji, D. Lischinski, D. Cohen-Or, and H. Huang · 2018
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Non-local neural networks
X. Wang, R. Girshick, A. Gupta, and K. He · 2018
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Multi-scale spatially-asymmetric recalibration for image classification
Y. Wang, L. Xie, S. Qiao, Y. Zhang, W. Zhang, and A. L. Yuille · 2018
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Learning a discriminative feature network for semantic segmentation
C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, and N. Sang · 2018
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Context encoding for semantic segmentation
H. Zhang, K. Dana, J. Shi, Z. Zhang, X. Wang, A. Tyagi, and A. Agrawal · 2018
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Psanet: Point-wise spatial attention network for scene parsing
H. Zhao, Y. Zhang, S. Liu, J. Shi, C. Change Loy, D. Lin, and J. Jia · 2018
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Stacked deconvolutional network for semantic segmentation
J. Fu, J. Liu, Y. Wang, J. Zhou, C. Wang, and H. Lu · 2019
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Adaptive pyramid context network for semantic segmentation
J. He, Z. Deng, L. Zhou, Y. Wang, and Y. Qiao · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks
M. Tan and Q. V. Le · 2019
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Wider or deeper: Revisiting the resnet model for visual recognition
Z. Wu, C. Shen, and A. Van Den Hengel · 2019
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