Adaptive network combination for single-image reflection removal: a domain generalization perspective

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References

[1] Parkin R E . A note on the extinction coefficient and absorptivity of glass. Solar Energy, 2015, 114: 196–197

[2] Zheng Q, Shi B, Chen J, Jiang X, Duan L Y, Kot A C. Single image reflection removal with absorption effect. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021, 13395−13404

[3] Zhang X, Ng R, Chen Q. Single image reflection separation with perceptual losses. In: Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2018, 4786−4794

[4] Li C, Yang Y, He K, Lin S, Hopcroft J E. Single image reflection removal through cascaded refinement. In: Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020, 3562−3571

[5] Wei K, Yang J, Fu Y, Wipf D, Huang H. Single image reflection removal exploiting misaligned training data and network enhancements. In: Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019, 8170−8179

[6] Wan R, Shi B, Duan L Y, Tan A H, Kot A C. Benchmarking single-image reflection removal algorithms. In: Proceedings of 2017 IEEE International Conference on Computer Vision. 2017, 3942−3950

[7] Li Y, Liu M, Yi Y, Li Q, Ren D, Zuo W . Two-stage single image reflection removal with reflection-aware guidance. Applied Intelligence, 2023, 53( 16): 19433–19448

[8] Good I J . Rational decisions. Journal of the Royal Statistical Society: Series B (Methodological), 1952, 14( 1): 107–114

[9] Mannor S, Peleg D, Rubinstein R. The cross entropy method for classification. In: Proceedings of the 22nd International Conference on Machine Learning. 2005, 561−568

[10] Dong Z, Xu K, Yang Y, Bao H, Xu W, Lau R W H. Location-aware single image reflection removal. In: Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. 2021, 4997−5006

[11] Hu Q, Guo X. Trash or treasure? An interactive dual-stream strategy for single image reflection separation. In: Proceedings of the 35th International Conference on Neural Information Processing Systems. 2021, 1890

[12] Hu Q, Guo X. Single image reflection separation via component synergy. In: Proceedings of 2023 IEEE/CVF International Conference on Computer Vision. 2023, 13092−13101

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China (Grant No. U19A2073).

Competing interests

The authors declare that they have no competing interests or financial conflicts to disclose.

Electronic supplementary material

Supplementary material is available in the online version of this article at journal.hep.com.cn and link.springer.com.

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