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Recently, removing objects from videos and filling in the erased regions using deep video inpainting (VI) algorithms has attracted considerable attention.
Collaborative video object segmentation by foreground-background integration
Yang, Z.; Wei, Y.; and Yang, Y. 2020 · 2003
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Space-time video completion
Wexler, Y.; Shechtman, E.; and Irani, M. 2004 · 2004
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Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning
Bešić, B.; and Valada, A. 2020 · 2008
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Microsoft coco: Common objects in context
Lin, T.-Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
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Ba, J. L.; Kiros, J. R.; and Hinton, G. E. 2016 · 2016
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Temporally coherent completion of dynamic video
Huang, J.-B.; Kang, S. B.; Ahuja, N.; and Kopf, J. 2016 · 2016
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A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation
Perazzi, F.; Pont-Tuset, J.; McWilliams, B.; Van Gool, L.; Gross, M.; and Sorkine-Hornung, A. 2016 · 2016
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One-shot video object segmentation
Caelles, S.; Maninis, K.-K.; Pont-Tuset, J.; Leal-Taixé, L.; Cremers, D.; and Van Gool, L. 2017 · 2017
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The 2017 DAVIS Challenge on Video Object Segmentation
Pont-Tuset, J.; Perazzi, F.; Caelles, S.; Arbeláez, P.; Sorkine-Hornung, A.; and Van Gool, L. 2017 · 2017
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Attention is all you need
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, Ł.; and Polosukhin, I. 2017 · 2017
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Online adaptation of convolutional neural networks for the 2017 davis challenge on video object segmentation
Voigtlaender, P.; and Leibe, B. 2017 · 2017
Cited alongside, same era.
Videomatch: Matching based video object segmentation
Hu, Y.-T.; Huang, J.-B.; and Schwing, A. G. 2018 · 2018
Cited alongside, same era.
Video object segmentation without temporal information
Maninis, K.-K.; Caelles, S.; Chen, Y.; Pont-Tuset, J.; Leal-Taixé, L.; Cremers, D.; and Van Gool, L. 2018 · 2018
Cited alongside, same era.
Adversarial scene editing: Automatic object removal from weak supervision
Shetty, R.; Fritz, M.; and Schiele, B. 2018 · 2018
Cited alongside, same era.
Cbam: Convolutional block attention module
Woo, S.; Park, J.; Lee, J.-Y.; and Kweon, I. S. 2018 · 2018
Cited alongside, same era.
Youtube-vos: A large-scale video object segmentation benchmark
Flow-edge guided video completion
Gao, C.; Saraf, A.; Huang, J.-B.; and Kopf, J. 2020 · 2020
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Short-Term and Long-Term Context Aggregation Network for Video Inpainting
Li, A.; Zhao, S.; Ma, X.; Gong, M.; Qi, J.; Zhang, R.; Tao, D.; and Kotagiri, R. 2020 · 2020
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Video object segmentation with adaptive feature bank and uncertain-region refinement
Liang, Y.; Li, X.; Jafari, N.; and Chen, J. 2020 · 2020
Later among the works it cites.
Learning Fast and Robust Target Models for Video Object Segmentation
Robinson, A.; Lawin, F. J.; Danelljan, M.; Khan, F. S.; and Felsberg, M. 2020 · 2020
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Learning Joint Spatial-Temporal Transformations for Video Inpainting
Zeng, Y.; Fu, J.; and Chao, H. 2020 · 2020
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Autoremover: automatic object removal for autonomous driving videos
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Xu, N.; Yang, L.; Fan, Y.; Yue, D.; Liang, Y.; Yang, J.; and Huang, T. 2018 · 2018
Cited alongside, same era.
Vornet: Spatio-temporally consistent video inpainting for object removal
Chang, Y.-L.; Yu Liu, Z.; and Hsu, W. 2019 · 2019
Cited alongside, same era.
Deep video inpainting
Kim, D.; Woo, S.; Lee, J.-Y.; and Kweon, I. S. 2019 · 2019
Cited alongside, same era.
Copy-and-paste networks for deep video inpainting
Lee, S.; Oh, S. W.; Won, D.; and Kim, S. J. 2019 · 2019
Cited alongside, same era.
Feelvos: Fast end-to-end embedding learning for video object segmentation
Voigtlaender, P.; Chai, Y.; Schroff, F.; Adam, H.; Leibe, B.; and Chen, L.-C. 2019 · 2019
Cited alongside, same era.
Deep flow-guided video inpainting
Xu, R.; Li, X.; Zhou, B.; and Loy, C. C. 2019 · 2019
Cited alongside, same era.
Pixel-Level Bijective Matching for Video Object Segmentation
Cho, S.; Lee, H.; Kim, M.; Jang, S.; and Lee, S. 2022a
Cited in the paper.
Zhang, R.; Li, W.; Wang, P.; Guan, C.; Fang, J.; Song, Y.; Yu, J.; Chen, B.; Xu, W.; and Yang, R. 2020 · 2020
Later among the works it cites.
Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion
Cheng, H. K.; Tai, Y.-W.; and Tang, C.-K. 2021 · 2021
Later among the works it cites.
Fuseformer: Fusing fine-grained information in transformers for video inpainting
Liu, R.; Deng, H.; Huang, Y.; Shi, X.; Lu, L.; Sun, W.; Wang, X.; Dai, J.; and Li, H. 2021 · 2021
Later among the works it cites.
Progressive temporal feature alignment network for video inpainting
Zou, X.; Yang, L.; Liu, D.; and Lee, Y. J. 2021 · 2021
Later among the works it cites.
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Cheng, H. K.; and Schwing, A. G. 2022 · 2022
Later among the works it cites.
Towards an end-to-end framework for flow-guided video inpainting
Li, Z.; Lu, C.-Z.; Qin, J.; Guo, C.-L.; and Cheng, M.-M. 2022 · 2022
Later among the works it cites.