Modality Interference Decoupling and Representation Alignment for Caricature-Visual Face Recognition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8429-9_24
Reference22 articles.
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3. Fu, C., Wu, X., Hu, Y., Huang, H., He, R.: DVG-Face: dual variational generation for heterogeneous face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(6), 2938–2952 (2021)
4. Garg, J., Peri, S.V., Tolani, H., Krishnan, N.C.: Deep cross modal learning for caricature verification and identification (CaVINet). In: Proceedings of the ACM International Conference on Multimedia, pp. 1101–1109 (2018)
5. He, R., Wu, X., Sun, Z., Tan, T.: Learning invariant deep representation for NIR-VIS face recognition. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 2000–2006 (2017)
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