Deep Learning Based Facial Feature Detection for Ethnicity Recognition
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1502-3_52
Reference11 articles.
1. Chenlei, L., Zhongke, W., Dan, Z., Xingce, W., Mingquan, Z.: 3D Nose shape net for human gender and ethnicity classification. Pattern Recogn. Lett. 126, 51–57 (2019)
2. Ding, H., Huang, D., Wang Y., Chen, L.: Facial ethnicity classification based on boosted local texture and shape descriptions. In: 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), Shanghai, pp. 1–6 (2013)
3. Wang, C., Zhang, Q., Liu, W., Liu, Y., Miao, L.: Facial feature discovery for ethnicity recognition. WIREs Data Mining Knowl. Discov. 9, e1278, 10(5), 1–17 (2019)
4. Gao, S., Zeng, C., Bai, M., Shu, K.: Facial ethnicity recognition based on transfer learning from deep convolutional networks. In: 2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), Shenzhen, China, 310–314 (2020)
5. Achkar, R., Haidar, G., Assal, M., Habchy, D., Ashi D., Maylaa, T.: Ethnicity recognition system using back propagation algorithm of an MLP. In: 2019 Fourth international conference on advances in computational tools for engineering applications (ACTEA), Beirut, Lebanon, 1–5 (2019)
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