Human face recognition have been an active research area for the last few decades.
Especially, during the last five years, it has gained significant research attention from …

There are widespread concerns about bias and discriminatory output related to artificial
intelligence (AI), which may propagate social biases and disparities. Digital ageism refers to …

Many deep learning models, such as convolutional neural network (CNN) and recurrent
neural network (RNN), have been successfully applied to extracting deep features for …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Aggressive behavior of group-housed pigs seriously affects farm economy and animal
welfare. Automatic and accurate recognition of aggressive behavior of group-housed pigs is …

In this paper, our objective is to simultaneously explore the learning of ordinal relationships
among age labels and address the challenge of heterogeneous data resulting from the non …

Image-based age estimation aims to predict a person's age from facial images. It is used in a
variety of real-world applications. Although end-to-end deep models have achieved …

Facial micro expressions are brief, spontaneous, and crucial emotions deep inside the mind,
reflecting the actual thoughts for that moment. Humans can cover their emotions on a large …

Age estimation from face images has attracted much attention due to its favorable and many
real-world applications such as video surveillance and social networking. However, most …

In this article, we propose a knowledge distillation approach with two teachers for facial age
estimation. Due to the nonstationary patterns of the facial-aging process, the relative order of …