Research on Flare Removal Network Based on Channel Attention Mechanism and Depthwise Over-parameterized Convolution-Reference-Cited by-同舟云学术

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Research on Flare Removal Network Based on Channel Attention Mechanism and Depthwise Over-parameterized Convolution

Published:2023-11-17 Issue: Volume:2015 Page:919-926
ISSN:
Container-title:Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering
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Author:

Zou Guanyu¹^ORCID,Bai Hongyang¹^ORCID,Yuan Yuman¹^ORCID,Deng Tianyu¹^ORCID,Yin Zhenpeng¹^ORCID,Wei Jingyi¹^ORCID

Affiliation:

1. School of Energy and Power Engineering, Nanjing University of Science and Technology, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652628.3652781

Reference25 articles.

1. Dai Y, Li C, Zhou S, Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond[J]. arXiv preprint arXiv:2306.04236, 2023.

2. Nussberger A , Grabner H , Van Gool L .Robust aerial object tracking in images with lens flare[C].IEEE International Conference on Robotics & Automation.IEEE, 2015:6380-6387.

3. Physically-based real-time lens flare rendering

4. Li X , Zhang B , Liao J ,et al.Let's See Clearly: Contaminant Artifact Removal for Moving Cameras[J]. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 2021: 1991-2000.

5. Wu Y , He Q , Xue T ,et al.How To Train Neural Networks for Flare Removal[C].International Conference on Computer Vision, 2021: 2219-2227.

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