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Manually labeling datasets with object masks is extremely time consuming.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
Earlier work this paper cites.
Interactive graph cuts for optimal boundary & region segmentation of objects in nd images
Y. Boykov and M.-P. Jolly · 2001
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An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
Y. Boykov and V. Kolmogorov · 2004
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Grabcut: Interactive foreground extraction using iterated graph cuts
C. Rother, V. Kolmogorov, and A. Blake · 2004
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Rationale and Design for the Defibrillators to Reduce Risk by Magnetic Resonance Imaging Evaluation (DETERMINE) Trial
A. H. Kadish, D. Bello, J. P. Finn, R. O. Bonow, A. Schaechter, H. Subacius, C. Albert, J. P. Daubert, C. G. Fonseca, and J. J. Goldberger · 2009
Earlier work this paper cites.
The Graph Neural Network Model
F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini · 2009
Earlier work this paper cites.
Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Super-edge grouping for object localization by combining appearance and shape information
Z. Zhang, S. Fidler, J. W. Waggoner, Y. Cao, J. M. Siskind, S. Dickinson, and S. Wang · 2012
Earlier work this paper cites.
Segmented anisotropic ssTEM dataset of neural tissue
S. Gerhard, J. Funke, J. Martel, A. Cardona, and R. Fetter · 2013
Earlier work this paper cites.
Beat the mturkers: Automatic image labeling from weak 3d supervision
L.-C. Chen, S. Fidler, A. Yuille, and R. Urtasun · 2014
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A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images
A. Suinesiaputra, B. R. Cowan, A. O. Al-Agamy, M. A. Elattar, N. Ayache, A. S. Fahmy, A. M. Khalifa, P. Medrano-Gracia, M.-P. Jolly, A. H. Kadish, D. C. Lee, J. Margeta, S. K. Warfield, and A. A. Young · 2014
Earlier work this paper cites.
Free-shape polygonal object localization
X. Sun, C. M. Christoudias, and P. Fua · 2014
Earlier work this paper cites.
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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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Fully Convolutional Networks for Semantic Segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Video segmentation with just a few strokes
N. S. Nagaraja, F. R. Schmidt, and T. Brox · 2015
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Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollar · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Recurrent instance segmentation
B. Romera-Paredes and P. H. S. Torr · 2015
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Convolutional lstm network: A machine learning approach for precipitation nowcasting
S. Xingjian, Z. Chen, H. Wang, D.-Y. Yeung, W.-k. Wong, and W.-c. Woo · 2015
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Monocular object instance segmentation and depth ordering with cnns
Z. Zhang, A. Schwing, S. Fidler, and R. Urtasun · 2015
Instance-level segmentation for autonomous driving with deep densely connected mrfs
Z. Zhang, S. Fidler, and R. Urtasun · 2016
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Deep watershed transform for instance segmentation
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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Speed/accuracy trade-offs for modern convolutional object detectors
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, and K. Murphy · 2017
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Sequential grouping networks for instance segmentation
S. Liu, J. Jia, S. Fidler, and R. Urtasun · 2017
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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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Towards large-scale city reconstruction from satellites
L. Duan and F. Lafarge · 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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Iterative instance segmentation
K. Li, B. Hariharan, and J. Malik · 2016
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Gated graph sequence neural networks
Y. Li, D. Tarlow, M. Brockschmidt, and R. Zemel · 2016
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Learning to refine object segments
P. O. Pinheiro, T.-Y. Lin, R. Collobert, and P. Dollár · 2016
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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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3d graph neural networks for rgbd semantic segmentation
X. Qi, R. Liao, J. Jia, S. Fidler, and R. Urtasun · 2017
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Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
M. Rajchl, M. C. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, M. Damodaram, M. A. Rutherford, J. V. Hajnal, B. Kainz, and D. Rueckert · 2017
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Self-critical sequence training for image captioning
S. J. Rennie, E. Marcheret, Y. Mroueh, J. Ross, and V. Goel · 2017
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Torontocity: Seeing the world with a million eyes
S. Wang, M. Bai, G. Mattyus, H. Chu, W. Luo, B. Yang, J. Liang, J. Cheverie, S. Fidler, and R. Urtasun · 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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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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