MOONLIT: momentum-contrast and large-kernel for multi-fine-grained deraining-Reference-Cited by-同舟云学术

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MOONLIT: momentum-contrast and large-kernel for multi-fine-grained deraining

Published:2023-04-20 Issue:14 Volume:79 Page:15729-15759
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Liu Yifan,Chen Jincai,Lu Ping,Zhu Chuanbo,Jian Yugen,Sun Chao,Liang Han

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05286-0.pdf

Reference58 articles.

1. Pal SK, Pramanik A, Maiti J, Mitra P (2021) Deep learning in multi-object detection and tracking: state of the art. App Intell 51(9):6400–6429

2. Lin G, Milan A, Shen C, Reid I (2017) Refinenet: Multi-path refinement networks for high-resolution semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1925–1934

3. Chen X, Pan J, Jiang K, Li Y, Huang Y, Kong C, Dai L, Fan Z (2022) Unpaired deep image deraining using dual contrastive learning. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 2017–2026

4. Li M, Xie Q, Zhao Q, Wei W, Gu S, Tao J, Meng D (2018) Video rain streak removal by multiscale convolutional sparse coding. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 6644–6653

5. Jiang K, Wang Z, Yi P, Chen C, Huang B, Luo Y, Ma J, Jiang J (2020) Multi-scale progressive fusion network for single image deraining. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp 8346–8355

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