Fetching the paper…
Reading the bibliography…
Video Object Segmentation (VOS) has emerged as an increasingly important problem with availability of larger datasets and more complex and realistic settings, which involve long videos with global motion (e.g, in egocentric settings), depicting small objects undergoing both rigid and non-rigid (including state) deformations.
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: A large-scale hierarchical image database. In: CVPR (2009)
2009
Earlier work this paper cites.
Everingham, M., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. IJCV (2010)
2010
Earlier work this paper cites.
Hariharan, B., Arbeláez, P., Bourdev, L., Maji, S., Malik, J.: Semantic contours from inverse detectors. In: ICCV (2011)
2011
Earlier work this paper cites.
Cheng, M.M., Mitra, N.J., Huang, X., Torr, P.H., Hu, S.M.: Global contrast based salient region detection. TPAMI (2014)
2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Shi, J., Yan, Q., Xu, L., Jia, J.: Hierarchical image saliency detection on extended cssd. In: TPAMI (2015)
2015
Earlier work this paper cites.
Ba, J.L., Kiros, J.R., Hinton, G.E.: Layer normalization. arXiv preprint arXiv:1607.06450 (2016)
2016
Earlier work this paper cites.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: CVPR (2016)
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
Milletari, F., Navab, N., Ahmadi, S.A.: V-net: Fully convolutional neural networks for volumetric medical image segmentation. In: 3DV (2016)
2016
Earlier work this paper cites.
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
Earlier work this paper cites.
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
Earlier work this paper cites.
Feichtenhofer, C., Pinz, A., Wildes, R.P.: Spatiotemporal multiplier networks for video action recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4768–4777 (2017)
2017
Earlier work this paper cites.
Jampani, V., Gadde, R., Gehler, P.V.: Video propagation networks. In: CVPR (2017)
2017
Earlier work this paper cites.
Jang, W.D., Kim, C.S.: Online video object segmentation via convolutional trident network. In: CVPR (2017)
2017
Earlier work this paper cites.
Lin, T.Y., Dollár, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: CVPR (2017)
2017
Earlier work this paper cites.
Lin, T.Y., Goyal, P., Girshick, R., He, K., Dollár, P.: Focal loss for dense object detection. In: ICCV (2017)
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. In: NeurIPS (2017)
2017
Cited alongside, same era.
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.
Hu, Y.T., Huang, J.B., Schwing, A.G.: Videomatch: Matching based video object segmentation. In: ECCV (2018)
2018
Cited alongside, same era.
Xiao, H., Feng, J., Lin, G., Liu, Y., Zhang, M.: Monet: Deep motion exploitation for video object segmentation. In: CVPR (2018)
2018
Yang, Z., Wei, Y., Yang, Y.: Collaborative video object segmentation by multi-scale foreground-background integration. TPAMI (2021)
2021
Later among the works it cites.
Athar, A., Luiten, J., Hermans, A., Ramanan, D., Leibe, B.: Hodor: High-level object descriptors for object re-segmentation in video learned from static images. In: CVPR (2022)
2022
Later among the works it cites.
Cheng, B., Misra, I., Schwing, A.G., Kirillov, A., Girdhar, R.: Masked-attention mask transformer for universal image segmentation. In: CVPR (2022)
2022
Later among the works it cites.
Cheng, H.K., Schwing, A.G.: Xmem: Long-term video object segmentation with an atkinson-shiffrin memory model. In: ECCV (2022)
2022
Later among the works it cites.
Cho, S., Lee, H., Lee, M., Park, C., Jang, S., Kim, M., Lee, S.: Tackling background distraction in video object segmentation. In: ECCV (2022)
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
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
Cited alongside, same era.
Yang, L., Wang, Y., Xiong, X., Yang, J., Katsaggelos, A.K.: Efficient video object segmentation via network modulation. In: CVPR (2018)
2018
Cited alongside, same era.
Oh, S.W., Lee, J.Y., Xu, N., Kim, S.J.: Video object segmentation using space-time memory networks. In: ICCV (2019)
2019
Cited alongside, same era.
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
Cited alongside, same era.
Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-end object detection with transformers. In: ECCV (2020)
2020
Cited alongside, same era.
Jabri, A., Owens, A., Efros, A.: Space-time correspondence as a contrastive random walk. In: NeurIPS (2020)
2020
Cited alongside, same era.
Liang, Y., Li, X., Jafari, N., Chen, J.: Video object segmentation with adaptive feature bank and uncertain-region refinement. In: NeurIPS (2020)
2020
Cited alongside, same era.
2022
Later among the works it cites.
Damen, D., Doughty, H., Farinella, G.M., , Furnari, A., Ma, J., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., Wray, M.: Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100. International Journal of Computer Vision (IJCV) 130
2022
Later among the works it cites.
Darkhalil, A., Shan, D., Zhu, B., Ma, J., Kar, A., Higgins, R., Fidler, S., Fouhey, D., Damen, D.: Epic-kitchens visor benchmark: Video segmentations and object relations. In: NeurIPS (2022)
2022
Later among the works it cites.
Li, M., Hu, L., Xiong, Z., Zhang, B., Pan, P., Liu, D.: Recurrent dynamic embedding for video object segmentation. In: CVPR (2022)
2022
Later among the works it cites.
Park, K., Woo, S., Oh, S.W., Kweon, I.S., Lee, J.Y.: Per-clip video object segmentation. In: CVPR (2022)
2022
Later among the works it cites.
Yang, A., Miech, A., Sivic, J., Laptev, I., Schmid, C.: Tubedetr: Spatio-temporal video grounding with transformers. In: CVPR (2022)
2022
Later among the works it cites.
Yang, Z., Yang, Y.: Decoupling features in hierarchical propagation for video object segmentation. In: NeurIPS (2022)
2022
Later among the works it cites.
Zhou, T., Porikli, F., Crandall, D.J., Van Gool, L., Wang, W.: A survey on deep learning technique for video segmentation. TPAMI (2022)
2022
Later among the works it cites.
2023
Closest in time.
Hong, L., Chen, W., Liu, Z., Zhang, W., Guo, P., Chen, Z., Zhang, W.: Lvos: A benchmark for long-term video object segmentation. In: ICCV (2023)
2023
Closest in time.
Karim, R., Zhao, H., Wildes, R.P., Siam, M.: Med-vt: Multiscale encoder-decoder video transformer with application to object segmentation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6323–6333 (2023)
2023
Closest in time.
Kim, D., Kim, J., Cho, S., Luo, C., Hong, S.: Universal few-shot learning of dense prediction tasks with visual token matching. In: ICLR (2023)
2023
Closest in time.
Tokmakov, P., Li, J., Gaidon, A.: Breaking the" object" in video object segmentation. In: CVPR (2023)
2023
Closest in time.
Yu, J., Li, X., Zhao, X., Zhang, H., Wang, Y.X.: Video state-changing object segmentation. In: ICCV (2023)
2023
Closest in time.