Framework for Gender Recognition Using Facial Features by Using Deep Learning
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-84760-9_51
Reference35 articles.
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2. Tapia, J.E., Perez, C.A., Bowyer, K.W.: Gender classification from the same iris code used for recognition. IEEE Trans. Inf. Forensics Secur. 11(8), 1760–1770 (2016). https://doi.org/10.1109/TIFS.2016.2550418
3. Hu, M., Wang, Y., Zhang, Z., Zhang, D.: Gait-Based gender classification using mixed conditional random field. IEEE Trans. Syst. Man Cybern. Part B (Cybern.) 41(5), 1429–1439 (2011). https://doi.org/10.1109/TSMCB.2011.2149518
4. Gao, Y., Li, Z., Qiao, Y.: Adaptive part-level model knowledge transfer for gender classification. IEEE Signal Process. Lett. 23(6), 888–892 (2016). https://doi.org/10.1109/LSP.2016.2555480
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