Author:
Wan Jun,Tan Zichang,Liu Ajian
Publisher
Springer International Publishing
Reference132 articles.
1. Acien, A., Morales, A., Vera-Rodriguez, R., Bartolome, I., Fierrez, J.: Measuring the gender and ethnicity bias in deep models for face recognition. In: Iberoamerican Congress on Pattern Recognition, pp. 584–593. Springer (2018)
2. Agustsson, E., Timofte, R., Van Gool, L.: Anchored regression networks applied to age estimation and super resolution. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1643–1652 (2017)
3. Akbari, A., Awais, M., Feng, Z., Farooq, A., Kittler, J.: Distribution cognisant loss for cross-database facial age estimation with sensitivity analysis. IEEE Trans. Pattern Anal. Mach. Intell. (2020)
4. Bao, Z., Tan, Z., Zhu, Y., Wan, J., Ma, X., Lei, Z., Guo, G.: Lae: long-tailed age estimation. In: International Conference on Computer Analysis of Images and Patterns, pp. 308–316. Springer (2021)
5. Berg, T., Belhumeur, P.: Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 955–962 (2013)