Gender recognition in the wild: a robustness evaluation over corrupted images
In the era of deep learning, the methods for gender recognition from face images achieve
remarkable performance over most of the standard datasets. However, the common …
remarkable performance over most of the standard datasets. However, the common …
A robust approach for gender recognition using deep learning
S Arora, MPS Bhatia - 2018 9th international conference on …, 2018 - ieeexplore.ieee.org
Gender information using facial patterns serves an important use in various user interaction
applications. This paper proposes an approach based on Convolutional Neural Networks to …
applications. This paper proposes an approach based on Convolutional Neural Networks to …
Joint gender classification and age estimation by nearly orthogonalizing their semantic spaces
In human face-based biometrics, gender classification and age estimation are two important
research topics. Although a variety of approaches have been proposed to handle them, just …
research topics. Although a variety of approaches have been proposed to handle them, just …
Gender Bias in Pre-Trained Deep Learning Models
AU Islam, ABMR Islam - 2023 IEEE Asia-Pacific Conference on …, 2023 - ieeexplore.ieee.org
People's opinions and actions in everyday life are increasingly influenced by artificial
intelligence. However, over representation in the design of these technologies has the …
intelligence. However, over representation in the design of these technologies has the …
A comparative study on face recognition using deep learning
In the present scenario handling the facial pictures could be a major problematic task.
Pictures square measure created often by many alternative sources like defense, satellite …
Pictures square measure created often by many alternative sources like defense, satellite …
Gender and Ethnicity Bias in Deep Learning
AU Islam - 2023 - search.proquest.com
People's opinions and actions in everyday life are increasingly influenced by artificial
intelligence. However, representation in the design of these technologies has the potential …
intelligence. However, representation in the design of these technologies has the potential …
RBF, SOM, Hopfield, and Deep Neural Networks
A Distante, C Distante, A Distante… - Handbook of Image …, 2020 - Springer
In this chapter, four different types of neural networks are described: Radial Basis Functions-
RBF, Self-Organizing Maps-SOM, the Hopfield, and the deep neural networks. RBF uses a …
RBF, Self-Organizing Maps-SOM, the Hopfield, and the deep neural networks. RBF uses a …