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We tackle the task of semi-supervised video object segmentation, i.e.
A decision-theoretic generalization of on-line learning and an application to boosting
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On-line boosting and vision
H. Grabner and H. Bischof · 2006
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Video snapcut: Robust video object cutout using localized classifiers
X. Bai, J. Wang, D. Simons, and G. Sapiro · 2009
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Dynamic color flow: A motion-adaptive color model for object segmentation in video
X. Bai, J. Wang, and G. Sapiro · 2010
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Efficient hierarchical graph-based video segmentation
M. Grundmann, V. Kwatra, M. Han, and I. Essa · 2010
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Semantic contours from inverse detectors
B. Hariharan, P. Arbelaez, L. D. Bourdev, S. Maji, and J. Malik · 2011
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Efficient inference in fully connected CRFs with gaussian edge potentials
P. Krähenbühl and V. Koltun · 2011
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Online learning for fast segmentation of moving objects
L. F. Ellis and V. Zografos · 2012
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Tracking-learning-detection
Z. Kalal, K. Mikolajczyk, and J. Matas · 2012
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Learning object class detectors from weakly annotated video
A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari · 2012
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A video representation using temporal superpixels
J. Chang, D. Wei, and J. W. Fisher III · 2013
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Integrating tracking with fine object segmentation
K. E. Papoutsakis and A. A. Argyros · 2013
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Learning a deep compact image representation for visual tracking
N. Wang and D-Y. Yeung · 2013
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Supervoxel-consistent foreground propagation in video
S. D. Jain and K. Grauman · 2014
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Microsoft COCO: Common objects in context
T-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
Seamseg: Video object segmentation using patch seams
S. A. Ramakanth and R. V. Babu · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, et al · 2015
Cited alongside, same era.
The PASCAL visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
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Jumpcut: Non-successive mask transfer and interpolation for video cutout
Q. Fan, F. Zhong, D. Lischinski, D. Cohen-Or, and B. Chen · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Bilateral space video segmentation
N. Maerki, F. Perazzi, O. Wang, and A. Sorkine-Hornung · 2016
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Learning multi-domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung · 2016
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Video segmentation via object flow
Y-H. Tsai, M-H. Yang, and M. J. Black · 2016
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Interactive deep learning method for segmenting moving objects
Y. Wang, Z. Luo, and P.-M. Jodoin · 2016
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2016
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Cited alongside, same era.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Fully connected object proposals for video segmentation
F. Perazzi, O. Wang, M. Gross, and A. Sorkine-Hornung · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Cited alongside, same era.
Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. S. Torr · 2016
Cited alongside, same era.
Deep background subtraction with scene-specific convolutional neural networks
M. Braham and M. Van Droogenbroeck · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
A deep convolutional neural network for background subtraction
M. Babaee, D. T. Dinh, and G. Rigoll · 2017
Closest in time.
One-shot video object segmentation
S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool · 2017
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Video propagation networks
V. Jampani, R. Gadde, and P. V. Gehler · 2017
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Lucid data dreaming for object tracking
A. Khoreva, R. Benenson, E. Ilg, T. Brox, and B. Schiele · 2017
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Learning video object segmentation from static images
F. Perazzi, A. Khoreva, R. Benenson, B. Schiele, and A. Sorkine-Hornung · 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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Learning motion patterns in videos
P. Tokmakov, K. Alahari, and C. Schmid · 2017
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Super-trajectory for video segmentation
Wenguan W. and Shenjian B · 2017
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