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This work addresses the problem of semantic foggy scene understanding (SFSU).
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Nishino, K., Kratz, L., Lombardi, S.: Bayesian defogging · 2012
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In: European Conference on Computer Vision (2012)
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Tarel, J.P., Hautière, N., Caraffa, L., Cord, A., Halmaoui, H., Gruyer, D.: Vision enhancement in homogeneous and heterogeneous fog · 2012
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Pavlić, M., Rigoll, G., Ilić, S.: Classification of images in fog and fog-free scenes for use in vehicles · 2013
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In: IEEE International Conference on Image Processing (ICIP) (2016)
Ling, Z., Fan, G., Wang, Y., Lu, X.: Learning deep transmission network for single image dehazing · 2016
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Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., Yang, M.H.: Single image dehazing via multi-scale convolutional neural networks · 2016
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Xu, Y., Wen, J., Fei, L., Zhang, Z.: Review of video and image defogging algorithms and related studies on image restoration and enhancement · 2016
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In: Proceedings of the British Machine Vision Conference (BMVC) (2017)
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arXiv preprint arXiv:1704.05519 (2017)
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IEEE Transactions on Multimedia 19
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IEEE Transactions on Pattern Analysis and Machine Intelligence 40
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