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In this paper, we propose a Deep Active Ray Network (DARNet) for automatic building segmentation.
Snakes: Active contour models
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Snakes: Active contour models
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Deep watershed transform for instance segmentation
Dilated residual networks
F. Yu, V. Koltun, and T. Funkhouser · 2017
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Pyramid scene parsing network
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Dilated residual networks
F. Yu, V. Koltun, and T. Funkhouser · 2017
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D. Acuna, H. Ling, A. Kar, and S. Fidler · 2018
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Path aggregation network for instance segmentation
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Learning deep structured active contours end-to-end
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M. Bai and R. Urtasun · 2017
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Annotating object instances with a polygon-rnn
L. Castrejon, K. Kundu, R. Urtasun, and S. Fidler · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Deep level sets for salient object detection
P. Hu, B. Shuai, J. Liu, and G. Wang · 2017
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Torontocity: Seeing the world with a million eyes
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http://www2.isprs.org/commissions/comm3/wg4/semantic-labeling.html
International society for photogrammetry and remote sensing, 2d semantic labeling contest
Cited in the paper.
Learning deep structured active contours end-to-end
D. Marcos, D. Tuia, B. Kellenberger, L. Zhang, M. Bai, R. Liao, and R. Urtasun · 2018
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Fast interactive object annotation with curve-gcn
H. Ling, J. Gao, A. Kar, W. Chen, and S. Fidler · 2019
Closest in time.
Object instance annotation with deep extreme level set evolution
Z. Wang, D. Acuna, H. Ling, A. Kar, and S. Fidler · 2019
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