Age Estimation

43 papers with code • 10 benchmarks • 13 datasets

Age Estimation is the task of estimating the age of a person from an image.

( Image credit: BridgeNet )

Most implemented papers

Rank consistent ordinal regression for neural networks with application to age estimation

Raschka-research-group/coral-cnn 20 Jan 2019

In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy.

Face Aging With Conditional Generative Adversarial Networks

Vishal-V/GSoC-TensorFlow-2019 7 Feb 2017

It has been recently shown that Generative Adversarial Networks (GANs) can produce synthetic images of exceptional visual fidelity.

Deep Regression Forests for Age Estimation

shenwei1231/caffe-DeepRegressionForests CVPR 2018

Age estimation from facial images is typically cast as a nonlinear regression problem.

On the effect of age perception biases for real age regression

juliojj/app-real-age 20 Feb 2019

Our model outperformed a state-of-the-art architecture proposed to separately address apparent and real age regression.

Facial age estimation by deep residual decision making

Nicholasli1995/VisualizingNDF 28 Aug 2019

Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks.

Fair and accurate age prediction using distribution aware data curation and augmentation

davidberend/FairnessMatters 11 Sep 2020

One of the main causes of unfair behavior in age prediction methods lies in the distribution and diversity of the training data.

PFA-GAN: Progressive Face Aging with Generative Adversarial Network

Hzzone/PFA-GAN 7 Dec 2020

Although impressive results have been achieved with conditional generative adversarial networks (cGANs), the existing cGANs-based methods typically use a single network to learn various aging effects between any two different age groups.

OTFPF: Optimal Transport-Based Feature Pyramid Fusion Network for Brain Age Estimation with 3D Overlapped ConvNeXt

brain-age/otfpf 10 May 2022

In this paper, we propose an end-to-end neural network architecture, referred to as optimal transport based feature pyramid fusion (OTFPF) network, for the brain age estimation with T1 MRIs.

Robust Optimization for Deep Regression

bazilas/matconvnet-deepReg ICCV 2015

Convolutional Neural Networks (ConvNets) have successfully contributed to improve the accuracy of regression-based methods for computer vision tasks such as human pose estimation, landmark localization, and object detection.

An All-In-One Convolutional Neural Network for Face Analysis

senguptaumd/SfSNet 3 Nov 2016

The proposed method employs a multi-task learning framework that regularizes the shared parameters of CNN and builds a synergy among different domains and tasks.