SSGAN: generative adversarial networks for the stroke segmentation of calligraphic characters

Author:

Bi Fukun,Han Jianhong,Tian Yumeng,Wang Yanping

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference27 articles.

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3. Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(4), 640–651 (2015)

4. Badrinarayanan, V., Kendail, A., et al.: SegNet: a deep convolutional encoder-decoder architecture for scene segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39(12), 2481–2495 (2017)

5. Goodfellow, I.J.: Generative adversarial nets. In: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, Montreal, Quebec, Canada, 8–13 Dec 2014, pp. 2672–2680 (2014)

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