A robust and efficient image de-fencing approach using conditional generative adversarial networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-020-01749-6.pdf
Reference45 articles.
1. Liu, Y., et al.: Image de-fencing. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition, pp. 1–8 (2008)
2. Park, M. et al.: Image de-fencing revisited (2010)
3. Khasare, V.S., et al.: Seeing through the fence: image de-fencing using a video sequence (2013)
4. Jonna, S., et al.: My camera can see through fences: a deep learning approach for image de-fencing (2015)
5. Jonna, S., et al.: Deep learning based fence segmentation and removal from an image using a video sequence (2016)
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