Fetching the paper…
Reading the bibliography…
We address Unsupervised Video Object Segmentation (UVOS), the task of automatically generating accurate pixel masks for salient objects in a video sequence and of tracking these objects consistently through time, without any input about which objects should be tracked.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
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
Earlier work this paper cites.
Segmentation of moving objects by long term video analysis
P. Ochs, J. Malik, and T. Brox · 2014
Earlier work this paper cites.
Multiple hypothesis tracking revisited
C. Kim, F. Li, A. Ciptadi, and J. M. Rehg · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Earlier work this paper cites.
A detailed rubric for motion segmentation
P. Bideau and E. Learned-Miller · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
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
Earlier work this paper cites.
Tensorpack
Y. Wu et al · 2016
Earlier work this paper cites.
Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2016
Earlier work this paper cites.
One-shot video object segmentation
S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool · 2017
Earlier work this paper cites.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Earlier work this paper cites.
Fusionseg: Learning to combine motion and appearance for fully automatic segmentation of generic objects in videos
S. D. Jain, B. Xiong, and K. Grauman · 2017
Earlier work this paper cites.
Tracking the trackers: an analysis of the state of the art in multiple object tracking
L. Leal-Taixé, A. Milan, K. Schindler, D. Cremers, I. Reid, and S. Roth · 2017
Earlier work this paper cites.
PWC-Net: CNNs for optical flow using pyramid, warping, and cost volume
D. Sun, X. Yang, M.-Y. Liu, and J. Kautz · 2017
Earlier work this paper cites.
Learning motion patterns in videos
P. Tokmakov, K. Alahari, and C. Schmid · 2017
Cited alongside, same era.
Learning video object segmentation with visual memory
P. Tokmakov, K. Alahari, and C. Schmid · 2017
Cited alongside, same era.
Online adaptation of convolutional neural networks for video object segmentation
P. Voigtlaender and B. Leibe · 2017
Cited alongside, same era.
CNN in MRF: video object segmentation via inference in a cnn-based higher-order spatio-temporal MRF
L. Bao, B. Wu, and W. Liu · 2018
Cited alongside, same era.
The best of both worlds: Combining cnns and geometric constraints for hierarchichal motion segmentation
P. Bideau, A. RoyChowdhury, R. R. Menon, and E. Learned-Miller · 2018
Cited alongside, same era.
Fast and accurate online video object segmentation via tracking parts
J. Cheng, Y.-H. Tsai, W.-C. Hung, S. Wang, and M.-H. Yang · 2018
Fast video object segmentation by reference-guided mask propagation
S. Wug Oh, J.-Y. Lee, K. Sunkavalli, and S. Joo Kim · 2018
Later among the works it cites.
Object discovery in videos as foreground motion clustering, 2018
C. Xie, Y. Xiang, Z. Harchaoui, and D. Fox · 2018
Later among the works it cites.
Youtube-vos: Sequence-to-sequence video object segmentation
N. Xu, L. Yang, Y. Fan, J. Yang, D. Yue, Y. Liang, B. Price, S. Cohen, and T. Huang · 2018
Later among the works it cites.
Efficient video object segmentation via network modulation
L. Yang, Y. Wang, X. Xiong, J. Yang, and A. K. Katsaggelos · 2018
Later among the works it cites.
The 2019 davis challenge on vos: Unsupervised multi-object segmentation
S. Caelles, J. Pont-Tuset, F. Perazzi, A. Montes, K.-K. Maninis, and L. Van Gool · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Videomatch: Matching based video object segmentation
Y.-T. Hu, J.-B. Huang, and A. G. Schwing · 2018
Cited alongside, same era.
A. Kuznetsova, H. Rom, N. Alldrin, J. Uijlings, I. Krasin, J. Pont-Tuset, S. Kamali, S. Popov, M. Malloci, T. Duerig, et al · 2018
Cited alongside, same era.
Instance embedding transfer to unsupervised video object segmentation
S. Li, B. Seybold, A. Vorobyov, A. Fathi, Q. Huang, and C.-C. J. Kuo · 2018
Cited alongside, same era.
Unsupervised video object segmentation with motion-based bilateral networks
S. Li, B. Seybold, A. Vorobyov, X. Lei, and C.-C. Jay Kuo · 2018
Cited alongside, same era.
Video object segmentation with joint re-identification and attention-aware mask propagation
X. Li and C. Change Loy · 2018
Cited alongside, same era.
PReMVOS: Proposal-generation, refinement and merging for video object segmentation
J. Luiten, P. Voigtlaender, and B. Leibe · 2018
Cited alongside, same era.
D. Cho, S. Hong, S. Kang, and J. Kim · 2019
Later among the works it cites.
Towards segmenting anything that moves
A. Dave, P. Tokmakov, and D. Ramanan · 2019
Later among the works it cites.
Large-scale object mining for object discovery from unlabeled video
A. Ošep, P. Voigtlaender, J. Luiten, S. Breuers, and B. Leibe · 2019
Later among the works it cites.
Rvos: End-to-end recurrent network for video object segmentation
C. Ventura, M. Bellver, A. Girbau, A. Salvador, F. Marques, and X. Giro-i Nieto · 2019
Later among the works it cites.
FEELVOS: Fast end-to-end embedding learning for video object segmentation
P. Voigtlaender, Y. Chai, F. Schroff, H. Adam, B. Leibe, and L.-C. Chen · 2019
Later among the works it cites.
MOTS: Multi-object tracking and segmentation
P. Voigtlaender, M. Krause, A. Os̆ep, J. Luiten, B. B. G. Sekar, A. Geiger, and B. Leibe · 2019
Later among the works it cites.
Fast online object tracking and segmentation: A unifying approach
Q. Wang, L. Zhang, L. Bertinetto, W. Hu, and P. H. Torr · 2019
Later among the works it cites.
Wider or deeper: Revisiting the resnet model for visual recognition
Z. Wu, C. Shen, and A. van den Hengel · 2019
Later among the works it cites.
L. Yang, Y. Fan, and N. Xu · 2019
Later among the works it cites.
Video segmentation by detection for the 2019 unsupervised davis challenge
Z. Yang, Q. Wang, S. Bai, W. Hu, and P. Torr · 2019
Later among the works it cites.