CHENet: Image to Image Chinese Handwriting Eraser
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-18916-6_4
Reference19 articles.
1. Bian, X., Wang, C., Quan, W., Ye, J., Zhang, X., Yan, D.-M.: Scene text removal via cascaded text stroke detection and erasing. Comput. Visual Media 8(2), 273–287 (2021). https://doi.org/10.1007/s41095-021-0242-8
2. Chng, C.K., et al.: ICDAR 2019 robust reading challenge on arbitrary-shaped text-RRC-art. In: 2019 International Conference on Document Analysis and Recognition (ICDAR), pp. 1571–1576. IEEE (2019)
3. Gao, H., Ergu, D., Cai, Y., Liu, F., Ma, B.: A robust cross-ethnic digital handwriting recognition method based on deep learning - sciencedirect (2022)
4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. IEEE (2016)
5. Kang, L., Riba, P., Rusiol, M., Fornés, A., Villegas, M.: Content and style aware generation of text-line images for handwriting recognition. IEEE Trans. Pattern Anal. Mach. Intell. (2022)
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1. EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers;Lecture Notes in Computer Science;2023
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