DAVIS Challenge on Video Object Segmentation 2019

Workshop in conjunction with CVPR 2019, Long Beach, California

Publications Semi-Supervised track

1

Object-based Spatial Similarity for Semi-supervised Video Object Segmentation
B. Wang, C. Zheng, N. Wang , S. Wang, X. Zhang, S. Liu,
S. Gao, K. Lu, D. Zhang, L. Shen, Y. Wang, Y. Xu
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-1st,
              author = {B. Wang, C. Zheng, N. Wang , S. Wang, X. Zhang, S. Liu, S. Gao, K. Lu, D. Zhang, L. Shen, Y. Wang, Y. Xu},
              title = {Object-based Spatial Similarity for Semi-supervised Video Object Segmentation},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

Combining PReMVOS with Box-Level Tracking for the 2019 DAVIS Challenge
J. Luiten, P. Voigtlaender, B. Leibe
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-2nd,
              author = {J. Luiten, P. Voigtlaender, B. Leibe},
              title = {Combining PReMVOS with Box-Level Tracking for the 2019 DAVIS Challenge},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

Guided Instance Segmentation Framework for Semi-supervised Video Instance Segmentation
M. Tran, T. Le, T. V. Nguyen, T. Ton, T. Hoang, N. Bui, T. Do,
Q. Luong, V. Nguyen, D. A. Duong, M. N. Do
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-3rd,
              author = {M. Tran, T. Le, T. V. Nguyen, T. Ton, T. Hoang, N. Bui, T. Do, Q. Luong, V. Nguyen, D. A. Duong, M. N. Do},
              title = {Guided Instance Segmentation Framework for Semi-supervised Video Instance Segmentation},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

A Unified Model for Semi-supervised and Interactive Video Object Segmentation using
Space-time Memory Networks

S. W. Oh, J. Lee, N. Xu, S. J. Kim
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-4th,
              author = {S. W. Oh, J. Lee, N. Xu, S. J. Kim},
              title = {A Unified Model for Semi-supervised and Interactive Video Object Segmentation using Space-time Memory Networks},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

*Q. Zhou, S. Chen, L. Huang, X. Wang
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019

1

Discriminative Learning and Target Attention for the 2019 DAVIS Challenge
on Video Object Segmentation

A. Robinson, F. J. Lawin, M. Danelljan, M. Felsberg
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-7th,
              author = {A. Robinson, F. J. Lawin, M. Danelljan, M. Felsberg},
              title = {Discriminative Learning and Target Attention for the 2019 DAVIS Challenge on Video Object Segmentation},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

An Empirical Study of Propagation-based Methods for Video Object Segmentation
H. Guo, W. Wang, G. Guo, H. Li, J. Liu, Q. He, X. Xiao
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Semi-Supervised-8th,
              author = {H. Guo, W. Wang, G. Guo, H. Li, J. Liu, Q. He, X. Xiao},
              title = {An Empirical Study of Propagation-based Methods for Video Object Segmentation},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }

Publications Interactive track

1

A Unified Model for Semi-supervised and Interactive Video Object Segmentation using
Space-time Memory Networks

S. W. Oh, J. Lee, N. Xu, S. J. Kim
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Interactive-1st,
              author = {S. W. Oh, J. Lee, N. Xu, S. J. Kim},
              title = {A Unified Model for Semi-supervised and Interactive Video Object Segmentation using Space-time Memory Networks},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

Interactive Video Object Segmentation Using Sparse-to-Dense Networks
Y. Heo, Y. J. Koh, C. Kim
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Interactive-2nd,
                  author = {Y. Heo, Y. J. Koh, C. Kim},
                  title = {Interactive Video Object Segmentation Using Sparse-to-Dense Networks},
                  journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
                  year = {2019}
                }
1

Interactive Video Object Segmentation via Spatio-temporal Context Aggregation
and Online Learning

Z. Lin, J. Xie, C. Zhou, J. Hu, W. Zheng
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Interactive-3rd,
                  author = {Z. Lin, J. Xie, C. Zhou, J. Hu, W. Zheng},
                  title = {Interactive Video Object Segmentation via Spatio-temporal Context Aggregation and Online Learning},
                  journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
                  year = {2019}
                }
1

Robust Multiple Object Mask Propagation with Efficient Object Tracking
H. Ren, Y. Yang, X. Liu
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Interactive-4th,
                  author = {H. Ren, Y. Yang, X. Liu},
                  title = {Robust Multiple Object Mask Propagation with Efficient Object Tracking},
                  journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
                  year = {2019}
                }

Publications Unsupervised track

1

UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking for
the 2019 Unsupervised DAVIS Challenge

I. E. Zulfikar, J. Luiten, B. Leibe
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Unsupervised-1st,
              author = {I. E. Zulfikar, J. Luiten, B. Leibe},
              title = {UnOVOST: Unsupervised Offline Video Object Segmentation and Tracking for the 2019 Unsupervised DAVIS Challenge},
              journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
              year = {2019}
            }
1

Video Segmentation by Detection for the 2019 Unsupervised DAVIS Challenge
Z. Yang, Q. Wang, S. Bai, W. Hu, P.H.S. Torr
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Unsupervised-2nd,
                  author = {Z. Yang, Q. Wang, S. Bai, W. Hu, P.H.S. Torr},
                  title = {Video Segmentation by Detection for the 2019 Unsupervised DAVIS Challenge},
                  journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
                  year = {2019}
                }
1

Key Instance Selection for Unsupervised Video Object Segmentation
D. Cho, S. Hong, S. Kang, J. Kim
The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops, 2019
[PDF] [BibTex]

@article{DAVIS2019-Unsupervised-3rd,
                  author = {D. Cho, S. Hong, S. Kang, J. Kim},
                  title = {Key Instance Selection for Unsupervised Video Object Segmentation},
                  journal = {The 2019 DAVIS Challenge on Video Object Segmentation - CVPR Workshops},
                  year = {2019}
                }
*Without publication due to high technical similarity with another participant's submission.