Automatic age and gender classification has been widely used in a large amount of
applications, particularly in human-computer interaction, biometrics, visual surveillance …

Age estimation is a challenging task, because it can be easily affected by gender, race, and
other intrinsic and extrinsic attributes. At the same time, performing age estimation for a …

In the last five years, biologically inspired features (BIF) always held the state-of-the-art
results for human age estimation from face images. Recently, researchers mainly put their …

Automatic age and gender classification has become relevant to an increasing amount of
applications, particularly since the rise of social platforms and social media. Nevertheless …

Age and gender classification has received more attention recently owing to its important
role in user-friendly intelligent systems. In this paper, we propose a convolutional neural …

Automatic age estimation has attracted much attention due to its potential applications. Most
of the proposed approaches have mainly used low-level handcraft features to encode facial …

This paper presents a novel CNN model called Soft Stagewise Regression Network (SSR-
Net) for age estimation from a single image with a compact model size. Inspired by DEX, we …

Automatically predicting age group and gender from face images acquired in unconstrained
conditions is an important and challenging task in many real-world applications …

Age and gender are complementary soft biometric traits for face recognition. Successful
estimation of age and gender from facial images taken under real-world conditions can …

Age estimation from face images is an important yet difficult task in computer vision. Its main
difficulty lies in how to design aging features that remain discriminative in spite of large facial …