The 2018 DAVIS Challenge on Video Object Segmentation

R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin, “Liblinear: A library for large linear classification,” Journal of machine learning research , vol. 9, no. Aug, pp. 1871–1874, 2008

Original

2008

Earlier work this paper cites.

T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick, “Microsoft COCO: Common objects in context,” in ECCV , 2014

2014

Earlier work this paper cites.

F. Perazzi, J. Pont-Tuset, B. McWilliams, L. Van Gool, M. Gross, and A. Sorkine-Hornung, “A benchmark dataset and evaluation methodology for video object segmentation,” in CVPR , 2016

2016

Earlier work this paper cites.

K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in CVPR , 2016

2016

Earlier work this paper cites.

J. Pont-Tuset, F. Perazzi, S. Caelles, P. Arbeláez, A. Sorkine-Hornung, and L. Van Gool, “The 2017 DAVIS challenge on video object segmentation,” arXiv:1704.00675 , 2017

Original

2017

Earlier work this paper cites.

P. Voigtlaender and B. Leibe, “Online adaptation of convolutional neural networks for video object segmentation,” in BMVC , 2017

2017

Earlier work this paper cites.

S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers, and L. Van Gool, “One-shot video object segmentation,” in CVPR , 2017

2017

Cited alongside, same era.

F. Perazzi, A. Khoreva, R. Benenson, B. Schiele, and A.Sorkine-Hornung, “Learning video object segmentation from static images,” in CVPR , 2017

2017

Cited alongside, same era.

J. Cheng, Y.-H. Tsai, S. Wang, and M.-H. Yang, “Segflow: Joint learning for video object segmentation and optical flow,” in IEEE International Conference on Computer Vision (ICCV) , 2017

2017

Cited alongside, same era.

W.-D. Jang and C.-S. Kim, “Online video object segmentation via convolutional trident network,” in CVPR , 2017

2017

Cited alongside, same era.

V. Jampani, R. Gadde, and P. V. Gehler, “Video propagation networks,” in CVPR , 2017

2017

Cited alongside, same era.

P. Tokmakov, K. Alahari, and C. Schmid, “Learning video object segmentation with visual memory,” in ICCV , 2017

2017

Later among the works it cites.

S. Jain, B. Xiong, and K. Grauman, “Fusionseg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos,” in CVPR , 2017

2017

Later among the works it cites.

P. Tokmakov, K. Alahari, and C. Schmid, “Learning motion patterns in videos,” in CVPR , 2017

2017

Later among the works it cites.

L.-C. Chen, G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille, “Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,” T-PAMI , 2017

2017

Later among the works it cites.

Y. Chen, J. Pont-Tuset, A. Montes, and L. V. Gool, “Blazingly fast video object segmentation with pixel-wise metric learning,” in CVPR , 2018

2018