Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions-Reference-Cited by-同舟云学术

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Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

Published:2022 Issue: Volume: Page:143-160
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Patil Prashant W.^ORCID,Gupta Sunil^ORCID,Rana Santu^ORCID,Venkatesh Svetha^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19815-1_9

Reference51 articles.

1. Baik, S., Choi, J., Kim, H., Cho, D., Min, J., Lee, K.M.: Meta-learning with task-adaptive loss function for few-shot learning. In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp. 9465–9474, October 2021

2. Behl, H.S., Naja, M., Arnab, A., Torr, P.H.: Meta-learning deep visual words for fast video object segmentation. In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8484–8491. IEEE (2020)

3. Lecture Notes in Computer Science;B Cai,2016

4. Chen, D., et al.: Gated context aggregation network for image dehazing and deraining. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1375–1383. IEEE (2019)

5. Chen, J., Tan, C.H., Hou, J., Chau, L.P., Li, H.: Robust video content alignment and compensation for rain removal in a CNN framework. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6286–6295 (2018)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DDR: A network of image deraining systems for dark environments;Journal of Visual Communication and Image Representation;2024-08

2. Depth-Aware Unpaired Video Dehazing;IEEE Transactions on Image Processing;2024

3. Multi-weather Image Restoration via Domain Translation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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