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The demand of applying semantic segmentation model on mobile devices has been increasing rapidly.
Segmentation and recognition using structure from motion point clouds
G. J. Brostow, J. Shotton, J. Fauqueur, and R. Cipolla · 2008
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Efficient inference in fully connected crfs with gaussian edge potentials
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Neural machine translation by jointly learning to align and translate
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J. adam: a method for stochastic optimization
D. P. Kingma and L. Ba · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 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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Fast, exact and multi-scale inference for semantic image segmentation with deep gaussian crfs
S. Chandra and I. Kokkinos · 2016
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L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille · 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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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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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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Enet: A deep neural network architecture for real-time semantic segmentation
A. Paszke, A. Chaurasia, S. Kim, and E. Culurciello · 2016
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Speeding up semantic segmentation for autonomous driving
M. Treml, J. Arjona-Medina, T. Unterthiner, R. Durgesh, F. Friedmann, P. Schuberth, A. Mayr, M. Heusel, M. Hofmarcher, M. Widrich, et al · 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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Segnet: A deep convolutional encoder-decoder architecture for image segmentation
V. Badrinarayanan, A. Kendall, and R. Cipolla · 2017
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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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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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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
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Context contrasted feature and gated multi-scale aggregation for scene segmentation
H. Ding, X. Jiang, B. Shuai, A. Qun Liu, and G. Wang · 2018
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Espnet: Efficient spatial pyramid of dilated convolutions for semantic segmentation
S. Mehta, M. Rastegari, A. Caspi, L. Shapiro, and H. Hajishirzi · 2018
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A deep cnn-based framework for enhanced aerial imagery registration with applications to uav geolocalization
A. Nassar, K. Amer, R. ElHakim, and M. ElHelw · 2018
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Erfnet: Efficient residual factorized convnet for real-time semantic segmentation
E. Romera, J. M. Alvarez, L. M. Bergasa, and R. Arroyo · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2018
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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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Learning affinity via spatial propagation networks
S. Liu, S. De Mello, J. Gu, G. Zhong, M.-H. Yang, and J. Kautz · 2017
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Fullresolution residual networks for semantic segmentation in street scenes
T. Pohlen, A. Hermans, M. Mathias, and B. Leibe · 2017
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Efficient convnet for real-time semantic segmentation
E. Romera, J. M. Alvarez, L. M. Bergasa, and R. Arroyo · 2017
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Fully convolutional networks for semantic segmentation
E. Shelhamer, J. Long, and T. Darrell · 2017
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Global-residual and local-boundary refinement networks for rectifying scene parsing predictions
R. Zhang, S. Tang, M. Lin, J. Li, and S. Yan · 2017
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Scale-adaptive convolutions for scene parsing
R. Zhang, S. Tang, Y. Zhang, J. Li, and S. Yan · 2017
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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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Denseaspp for semantic segmentation in street scenes
M. Yang, K. Yu, C. Zhang, Z. Li, and K. Yang · 2018
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Bisenet: Bilateral segmentation network for real-time semantic segmentation
C. Yu, J. Wang, C. Peng, C. Gao, G. Yu, and N. Sang · 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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Ocnet: Object context network for scene parsing
Y. Yuan and J. Wang · 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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High resolution feature recovering for accelerating urban scene parsing
R. Zhang, S. Tang, L. Liu, Y. Zhang, J. Li, and S. Yan · 2018
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Icnet for real-time semantic segmentation on high-resolution images
H. Zhao, X. Qi, X. Shen, J. Shi, and J. Jia · 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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