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Modern approaches for semantic segmentation usually employ dilated convolutions in the backbone to extract high-resolution feature maps, which brings heavy computation complexity and memory footprint.
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Learning hierarchical features for scene labeling
C. Farabet, C. Couprie, L. Najman, and Y. LeCun · 2013
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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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W. Liu, A. Rabinovich, and A. C. Berg · 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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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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deep joint image filtering
Y. Li, J.-B. Huang, N. Ahuja, and M.-H. Yang · 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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Bridging category-level and instance-level semantic image segmentation
Z. Wu, C. Shen, and A. v. d. Hengel · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Gated feedback refinement network for dense image labeling
M. Amirul Islam, M. Rochan, N. D. Bruce, and Y. Wang · 2017
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Large kernel matters—improve semantic segmentation by global convolutional network
C. Peng, X. Zhang, G. Yu, G. Luo, and J. Sun · 2017
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Full-resolution residual networks for semantic segmentation in street scenes
T. Pohlen, A. Hermans, M. Mathias, and B. Leibe · 2017
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The devil is in the decoder
Z. Wojna, V. Ferrari, S. Guadarrama, N. Silberman, L.-C. Chen, A. Fathi, and J. Uijlings · 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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Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
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Coco-stuff: Thing and stuff classes in context
H. Caesar, J. Uijlings, and V. Ferrari · 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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Stacked deconvolutional network for semantic segmentation
J. Fu, J. Liu, Y. Wang, and H. Lu · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. D. Reid · 2017
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 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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Fast end-to-end trainable guided filter
H. Wu, S. Zheng, J. Zhang, and K. Huang · 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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Exfuse: Enhancing feature fusion for semantic segmentation
Z. Zhang, X. Zhang, C. Peng, D. Cheng, and J. Sun · 2018
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Decoders matter for semantic segmentation: Data-dependent decoding enables flexible feature aggregation
Z. Tian, C. Shen, T. He, and Y. Yan · 2019
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