Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference32 articles.
1. Turkmen, I.: a new method to remove random-valued impulse noise in images. J. Vis. Commun. Image Represent. 34, 771–779 (2013)
2. Cao, B., Wang, N., Li, J., Gao, X.: Data augmentation-based joint learning for heterogeneous face recognition. IEEE Trans. Neural Netw. Learn. Syst. 30(6), 1731–1743 (2019)
3. Cao, B., Zhang, H., Wang, N., Gao, X., Shen, D.: Auto-GAN: self-supervised collaborative learning for medical image synthesis. In Proceedings of the AAAI conference on artificial intelligence (pp. 10486-10493). (2020).
4. Neshatavar, R., Yavartanoo, M., Son, S., Lee, K.M.: CVF-SID: cyclic multi-variate function for self-supervised image denoising by disentangling noise from image. Proc. IEEE Comput Soc. Conf. Comput. Vis. Pattern Recognit. 2022, 17562–17570 (2022)
5. Huang, J.J., Dragotti, P.L.: WINNet: wavelet-Inspired Invertible Network for Image Denoising. IEEE Trans. Image Process. 31, 4377–4392 (2022)