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Online video object segmentation is a challenging task as it entails to process the image sequence timely and accurately.
Visual tracking with online multiple instance learning
B. Babenko, M.-H. Yang, and S. Belongie · 2009
Earlier work this paper cites.
Visual object tracking using adaptive correlation filters
D. S. Bolme, J. R. Beveridge, B. A. Draper, and Y. M. Lui · 2010
Earlier work this paper cites.
Hough-based tracking of non-rigid objects
M. Godec, P. M. Roth, and H. Bischof · 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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Key-segments for video object segmentation
Y. J. Lee, J. Kim, and K. Grauman · 2011
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Maximum weight cliques with mutex constraints for video object segmentation
T. Ma and L. J. Latecki · 2012
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Video segmentation by tracking many figure-ground segments
F. Li, T. Kim, A. Humayun, D. Tsai, and J. M. Rehg · 2013
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Fast object segmentation in unconstrained video
A. Papazoglou and V. Ferrari · 2013
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D. Zhang, O. Javed, and M. Shah · 2013
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Video segmentation by non-local consensus voting
A. Faktor and M. Irani · 2014
Earlier work this paper cites.
High-speed tracking with kernelized correlation filters
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista · 2015
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Motion trajectory segmentation via minimum cost multicuts
M. Keuper, B. Andres, and T. Brox · 2015
Earlier work this paper cites.
Real-time part-based visual tracking via adaptive correlation filters
T. Liu, G. Wang, and Q. Yang · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Hierarchical convolutional features for visual tracking
C. Ma, J.-B. Huang, X. Yang, and M.-H. Yang · 2015
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Fully connected object proposals for video segmentation
F. Perazzi, O. Wang, M. Gross, and A. Sorkine-Hornung · 2015
Earlier work this paper cites.
Holistically-nested edge detection
S. Xie and Z. Tu · 2015
Cited alongside, same era.
Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. Torr · 2016
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Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 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.
Primary object segmentation in videos via alternate convex optimization of foreground and background distributions
W.-D. Jang, C. Lee, and C.-S. Kim · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Eco: Efficient convolution operators for tracking
M. Danelljan, G. Bhat, F. S. Khan, and M. Felsberg · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Fusionseg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
S. D. Jain, B. Xiong, and K. Grauman · 2017
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Video propagation networks
V. Jampani, R. Gadde, and P. V. Gehler · 2017
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Online video object segmentation via convolutional trident network
W.-D. Jang and C.-S. Kim · 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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Bilateral space video segmentation
N. Märki, F. Perazzi, O. Wang, and A. Sorkine-Hornung · 2016
Cited alongside, same era.
Learning multi-domain convolutional neural networks for visual tracking
H. Nam and B. Han · 2016
Cited alongside, same era.
A benchmark dataset and evaluation methodology for video object segmentation
F. Perazzi, J. Pont-Tuset, B. McWilliams, L. V. Gool, M. Gross, and A. Sorkine-Hornung · 2016
Cited alongside, same era.
Siamese instance search for tracking
R. Tao, E. Gavves, and A. W. Smeulders · 2016
Cited alongside, same era.
Video segmentation via object flow
Y.-H. Tsai, M.-H. Yang, and M. J. Black · 2016
Cited alongside, same era.
Semantic co-segmentation in videos
Y.-H. Tsai, G. Zhong, and M.-H. Yang · 2016
Cited alongside, same era.
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Learning video object segmentation from static images
A. Khoreva, F. Perazzi, R. Benenson, B. Schiele, and A. Sorkine-Hornung · 2017
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Primary object segmentation in videos based on region augmentation and reduction
Y. J. Koh and C.-S. Kim · 2017
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Video object segmentation with re-identification
X. Li, Y. Qi, Z. Wang, K. Chen, Z. Liu, J. Shi, P. Luo, C. C. Loy, and X. Tang · 2017
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Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
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One-shot video object segmentation with iterative online fine-tuning
A. Newswanger and C. Xu · 2017
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The 2017 davis challenge on video object segmentation
J. Pont-Tuset, F. Perazzi, S. Caelles, P. Arbeláez, A. Sorkine-Hornung, and L. Van Gool · 2017
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Learning motion patterns in videos
P. Tokmakov, K. Alahari, and C. Schmid · 2017
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Learning video object segmentation with visual memory
P. Tokmakov, K. Alahari, and C. Schmid · 2017
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Online adaptation of convolutional neural networks for video object segmentation
P. Voigtlaender and B. Leibe · 2017
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