Face gender recognition based on face recognition feature vectors

Y Lin, H Xie - 2020 IEEE 3rd International conference on …, 2020 - ieeexplore.ieee.org
Automatic facial gender recognition is a widely used task in the field of computer vision,
which is very easy for a human, but very challenging for computers. In this paper, a face …

Gender Identification Using Keras Model Through Detection of Face

SD Boncolmo, EV Calaquian… - 2021 IEEE 13th …, 2021 - ieeexplore.ieee.org
Gender identification is a critical topic in which research is still ongoing. Many gender
identification systems have been developed utilizing various designs. With the help of the …

Custom attribute image generation based on improved StyleGAN2

G Gao, X Li, Z Du - Proceedings of the 2023 15th International …, 2023 - dl.acm.org
The continuous development of generative adversarial networks [1] has made it easier and
easier to generate forged face images. Using generative adversarial networks can easily …

Gender face Recognition Using Advanced Convolutional Neural Network Model

H Yousif, I Abd El Kader - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Gender face recognition has several useful applications in human Android reactions, in
which the overall user experience can improved. The convolutional neural network model …

CNN-based book cover and back cover recognition and classification

H Xia, Y Qi, Q Zeng, Y Li, F You - International Conference on Testbeds …, 2020 - Springer
As an important part of the national economy and an important supporting industry, printing
and publishing industry is closely related to the development of national economy. In recent …

[PDF][PDF] Women Abuse Detection in Video Surveillance using Deep Learning

R Sandhiya, AR Prassad, DG Krishnan… - GRD Journals-Global …, 2020 - academia.edu
In this paper, we proposed women abuse detection method in surveillance video system.
The proposed method consists of gender detection using convolutional neural networks …

[引用][C] Women Abuse Detection in Video Surveillance using Deep Learning

RSARG Prassad, DGKS PrajethBalan