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We developed a real-time, high-quality semi-supervised video object segmentation algorithm.
Li, Y., Sun, J., Shum, H.Y.: Video object cut and paste. In: SIGGRAPH (2005)
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Wang, J., Bhat, P., Colburn, A., Agrawala, M., Cohen, M.F.: Interactive video cutout. ACM Trans. Graph. 24
2005
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Bai, X., Wang, J., Simons, D.S., Sapiro, G.: Video snapcut: Robust video object cutout using localized classifiers. ACM Trans. Graph. 28
2009
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Price, B.L., Morse, B.S., Cohen, S.: Livecut: Learning-based interactive video segmentation by evaluation of multiple propagated cues. In: ICCV (2009)
2009
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Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. IJCV 88
2010
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Hariharan, B., Arbelaez, P., Bourdev, L., Maji, S., Malik, J.: Semantic contours from inverse detectors. In: ICCV (2011)
2011
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Yan, Q., Xu, L., Shi, J., Jia, J.: Hierarchical saliency detection. In: CVPR (2013)
2013
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Cheng, M.M., Mitra, N.J., Huang, X., Torr, P.H., Hu, S.M.: Global contrast based salient region detection. TPAMI 37
2014
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Kingma, D.P., Ba, J.: Adam: A method for stochastic optimization. In: ICLR (2014)
2014
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Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: ECCV (2014)
2014
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Borji, A., Cheng, M.M., Jiang, H., Li, J.: Salient object detection: A benchmark. IEEE Transactions on Image Processing 24
2015
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Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Van Der Smagt, P., Cremers, D., Brox, T.: Flownet: Learning optical flow with convolutional networks. In: ICCV (2015)
2015
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Li, G., Yu, Y.: Visual saliency based on multiscale deep features. In: CVPR (2015)
2015
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He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
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Perazzi, F., Pont-Tuset, J., McWilliams, B., Van Gool, L., Gross, M., Sorkine-Hornung, A.: A benchmark dataset and evaluation methodology for video object segmentation. In: CVPR (2016)
2016
Cited alongside, same era.
Caelles, S., Maninis, K.K., Pont-Tuset, J., Leal-Taixé, L., Cremers, D., Van Gool, L.: One-shot video object segmentation. In: CVPR (2017)
2017
Cited alongside, same era.
Cheng, J., Tsai, Y.H., Wang, S., Yang, M.H.: Segflow: Joint learning for video object segmentation and optical flow. In: ICCV (2017)
2017
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Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: Flownet 2.0: Evolution of optical flow estimation with deep networks. In: CVPR (2017)
2017
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Jang, W.D., Kim, C.S.: Online video object segmentation via convolutional trident network. In: CVPR (2017)
2017
Luiten, J., Voigtlaender, P., Leibe, B.: Premvos: Proposal-generation, refinement and merging for video object segmentation. In: ACCV (2018)
2018
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Maninis, K.K., Caelles, S., Chen, Y., Pont-Tuset, J., Leal-Taixé, L., Cremers, D., Van Gool, L.: Video object segmentation without temporal information. TPAMI 41
2018
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Oh, S.W., Lee, J.Y., Sunkavalli, K., Kim, S.J.: Fast video object segmentation by reference-guided mask propagation. In: CVPR (2018)
2018
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Xu, N., Yang, L., Fan, Y., Yang, J., Yue, D., Liang, Y., Price, B., Cohen, S., Huang, T.: Youtube-vos: Sequence-to-sequence video object segmentation. In: ECCV (2018)
2018
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Yang, L., Wang, Y., Xiong, X., Yang, J., Katsaggelos, A.K.: Efficient video object segmentation via network modulation. In: CVPR (2018)
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Cited alongside, same era.
Perazzi, F., Khoreva, A., Benenson, R., Schiele, B., Sorkine-Hornung, A.: Learning video object segmentation from static images. In: CVPR (2017)
2017
Cited alongside, same era.
2017
Cited alongside, same era.
Shin Yoon, J., Rameau, F., Kim, J., Lee, S., Shin, S., So Kweon, I.: Pixel-level matching for video object segmentation using convolutional neural networks. In: ICCV (2017)
2017
Cited alongside, same era.
Voigtlaender, P., Leibe, B.: Online adaptation of convolutional neural networks for video object segmentation. In: BMVC (2017)
2017
Cited alongside, same era.
Bao, L., Wu, B., Liu, W.: Cnn in mrf: Video object segmentation via inference in a cnn-based higher-order spatio-temporal mrf. In: CVPR (2018)
2018
Cited alongside, same era.
Chen, Y., Pont-Tuset, J., Montes, A., Van Gool, L.: Blazingly fast video object segmentation with pixel-wise metric learning. In: CVPR (2018)
2018
Cited alongside, same era.
Cheng, J., Tsai, Y.H., Hung, W.C., Wang, S., Yang, M.H.: Fast and accurate online video object segmentation via tracking parts. In: CVPR (2018)
2018
Cited alongside, same era.
2018
Later among the works it cites.
Johnander, J., Danelljan, M., Brissman, E., Khan, F.S., Felsberg, M.: A generative appearance model for end-to-end video object segmentation. In: CVPR (2019)
2019
Later among the works it cites.
Khoreva, A., Benenson, R., Ilg, E., Brox, T., Schiele, B.: Lucid data dreaming for video object segmentation. IJCV 127
2019
Later among the works it cites.
Lin, H., Qi, X., Jia, J.: Agss-vos: Attention guided single-shot video object segmentation. In: ICCV (2019)
2019
Later among the works it cites.
Oh, S.W., Lee, J.Y., Xu, N., Kim, S.J.: Video object segmentation using space-time memory networks. In: ICCV (2019)
2019
Later among the works it cites.
Ventura, C., Bellver, M., Girbau, A., Salvador, A., Marques, F., Giro-i Nieto, X.: Rvos: End-to-end recurrent network for video object segmentation. In: CVPR (2019)
2019
Later among the works it cites.
Voigtlaender, P., Chai, Y., Schroff, F., Adam, H., Leibe, B., Chen, L.C.: Feelvos: Fast end-to-end embedding learning for video object segmentation. In: CVPR (2019)
2019
Later among the works it cites.
2019
Later among the works it cites.
Wang, Q., Zhang, L., Bertinetto, L., Hu, W., Torr, P.H.: Fast online object tracking and segmentation: A unifying approach. In: CVPR (2019)
2019
Later among the works it cites.
Wang, Z., Xu, J., Liu, L., Zhu, F., Shao, L.: Ranet: Ranking attention network for fast video object segmentation. In: ICCV (2019)
2019
Later among the works it cites.