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Recently, transformer-based approaches have shown promising results for semi-supervised video object segmentation.
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.
Ngan, K.N., Li, H.: Video segmentation and its applications. Springer Science & Business Media (2011)
2011
Earlier work this paper cites.
Vijayanarasimhan, S., Grauman, K.: Active frame selection for label propagation in videos. In: ECCV (2012)
2012
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.
Nowozin, S.: Optimal decisions from probabilistic models: The intersection-over-union case. In: CVPR (2014)
2014
Earlier work this paper cites.
Ramakanth, S.A., Babu, R.V.: Seamseg: Video object segmentation using patch seams. In: CVPR (2014)
2014
Earlier work this paper cites.
Shi, J., Yan, Q., Xu, L., Jia, J.: Hierarchical image saliency detection on extended cssd. TPAMI (2015)
2015
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.
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.
Hu, Y.T., Huang, J.B., Schwing, A.: Maskrnn: Instance level video object segmentation. In: NeurIPS (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.
Perazzi, F., Khoreva, A., Benenson, R., Schiele, B., Sorkine-Hornung, A.: Learning video object segmentation from static images. In: CVPR (2017)
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, L.u., Polosukhin, I.: Attention is all you need. In: NeurIPS (2017)
2017
Earlier work this paper cites.
Voigtlaender, P., Leibe, B.: Online adaptation of convolutional neural networks for video object segmentation. In: BMVC (2017)
2017
Earlier work this paper cites.
Chen, Y., Pont-Tuset, J., Montes, A., Van Gool, L.: Blazingly fast video object segmentation with pixel-wise metric learning. In: CVPR (2018)
2018
Earlier work this paper cites.
Hu, Y.T., Huang, J.B., Schwing, A.G.: Videomatch: Matching based video object segmentation. In: ECCV (2018)
2018
Earlier work this paper cites.
Luiten, J., Voigtlaender, P., Leibe, B.: Premvos: Proposal-generation, refinement and merging for video object segmentation. In: ACCV (2018)
2018
Earlier work this paper cites.
Maninis, K.K., Caelles, S., Chen, Y., Pont-Tuset, J., Leal-Taixé, L., Cremers, D., Van Gool, L.: Video object segmentation without temporal information. In: PAMI (2018)
2018
Earlier work this paper cites.
Oh, S.W., Lee, J.Y., Sunkavalli, K., Joo Kim, S.: Fast video object segmentation by reference-guided mask propagation. In: CVPR (2018)
2018
Earlier work this paper cites.
Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: Inverted residuals and linear bottlenecks. In: CVPR (2018)
2018
Cited alongside, same era.
Sandler, M., Howard, A., Zhu, M., Zhmoginov, A., Chen, L.C.: Mobilenetv2: Inverted residuals and linear bottlenecks. CVPR (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
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.
Cheng, H.K., Tai, Y.W., Tang, C.K.: Rethinking space-time networks with improved memory coverage for efficient video object segmentation. NeurIPS (2021)
2021
Later among the works it cites.
Duke, B., Ahmed, A., Wolf, C., Aarabi, P., Taylor, G.W.: Sstvos: Sparse spatiotemporal transformers for video object segmentation. In: CVPR (2021)
2021
Later among the works it cites.
Ge, W., Lu, X., Shen, J.: Video object segmentation using global and instance embedding learning. In: CVPR (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., Lin, S., Guo, B.: Swin Transformer: Hierarchical vision transformer using shifted windows. In: ICCV (2021)
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Duarte, K., Rawat, Y.S., Shah, M.: Capsulevos: Semi-supervised video object segmentation using capsule routing. In: ICCV (2019)
2019
Cited alongside, same era.
Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: ICLR (2019)
2019
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.
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
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.
Wang, Z., Xu, J., Liu, L., Zhu, F., Shao, L.: Ranet: Ranking attention network for fast video object segmentation. In: ICCV (2019)
2019
Cited alongside, same era.
Bhat, G., Lawin, F.J., Danelljan, M., Robinson, A., Felsberg, M., Gool, L.V., Timofte, R.: Learning what to learn for video object segmentation. In: ECCV (2020)
2020
Cited alongside, same era.
2021
Later among the works it cites.
Mao, Y., Wang, N., Zhou, W., Li, H.: Joint inductive and transductive learning for video object segmentation. In: ICCV (2021)
2021
Later among the works it cites.
2021
Later among the works it cites.
Park, H., Yoo, J., Jeong, S., Venkatesh, G., Kwak, N.: Learning dynamic network using a reuse gate function in semi-supervised video object segmentation. In: CVPR (2021)
2021
Later among the works it cites.
Xie, H., Yao, H., Zhou, S., Zhang, S., Sun, W.: Efficient regional memory network for video object segmentation. In: CVPR (2021)
2021
Later among the works it cites.
Yang, Z., Wei, Y., Yang, Y.: Associating objects with transformers for video object segmentation. In: NeurIPS (2021)
2021
Later among the works it cites.
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.
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.
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.
Xu, X., Wang, J., Li, X., Lu, Y.: Reliable propagation-correction modulation for video object segmentation. In: AAAI (2022)
2022
Later among the works it cites.
Yang, J., Li, C., Dai, X., Gao, J.: Focal modulation networks. In: NeurIPS (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.
Yu, Y., Yuan, J., Mittal, G., Fuxin, L., Chen, M.: Batman: Bilateral attention transformer in motion-appearance neighboring space for video object segmentation. In: ECCV (2022)
2022
Later among the works it cites.
Hatamizadeh, A., Yin, H., Heinrich, G., Kautz, J., Molchanov, P.: Global context vision transformers. In: ICML (2023)
2023
Later among the works it cites.
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 (October 2023)
2023
Later among the works it cites.
Lan, M., Zhang, J., Zhang, L., Tao, D.: Learning to learn better for video object segmentation. In: AAAI (2023)
2023
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 (2023)
2023
Later among the works it cites.