We study how the visual attention-based features coupled to Deep Neural Networks can be used to discriminate between gender and race.

Oct 1, 2022 · Different pretrained architectures such as Alexnet and ResNet-50 were considered to extract visual saliency points or interest points. Several ...

Different pretrained architectures such as Alexnet and ResNet-50 were considered to extract visual saliency points or interest points. Several experiments were ...

Gender and ethnicity recognition based on visual attention-driven deep architectures. https://doi.org/10.1016/j.jvcir.2022.103627.

Data on Networks Reported by Researchers at University of Sidi Bel Abbes (Gender and Ethnicity Recognition Based On Visual Attention-driven Deep ...

Gender and ethnicity recognition based on visual attention-driven deep architectures. S Khellat-Kihel, J Muhammad, Z Sun, M Tistarelli. Journal of Visual ...

Gender and ethnicity recognition based on visual attention-driven deep architectures. Journal of Visual. Communication and Image Representation, 88: 103627 ...

Jan 19, 2024 · Gender and ethnicity recognition based on visual attention-driven deep architectures. Souad Khellat-Kihel, Jawad Muhammad, Zhenan Sun, M ...

The implementation of Multi-Axis Vision Transformer achieves. 77.2% classification accuracy for the ethnic groups of Asian,. Black, Indian, Latino Hispanic, ...

Gender and ethnicity recognition based on visual attention-driven deep architectures ... Deep architecture based on visual attention on the periocular part.