Age-Invariant Face Recognition

5 papers with code • 4 benchmarks • 2 datasets

Age-invariant face recognition is the task of performing face recognition that is invariant to differences in age.

( Image credit: Look Across Elapse )

Latest papers with no code

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark

no code yet • 17 Oct 2022

Extensive experimental results on five benchmark cross-age datasets demonstrate that MTLFace yields superior performance for both AIFR and FAS.

Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features

no code yet • 18 Sep 2022

We propose domain adaptation to concurrently align distributions of adult and child expressions in a shared latent space for robust classification of either domain.

Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective

no code yet • ICCV 2021

For quantitative measure of the degree of disentanglement, we verify that mutual information can represent as metric.

LIAAD: Lightweight Attentive Angular Distillation for Large-scale Age-Invariant Face Recognition

no code yet • 9 Apr 2020

This work presents a novel Lightweight Attentive Angular Distillation (LIAAD) approach to Large-scale Lightweight AiFR that overcomes these limitations.

Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition

no code yet • ECCV 2018

Extensive experiments conducted on the three public domain face aging datasets (MORPH Album 2, CACD-VS and FG-NET) have shown the effectiveness of the proposed approach and the value of the constructed CAF dataset on AIFR.

Temporal Non-Volume Preserving Approach to Facial Age-Progression and Age-Invariant Face Recognition

no code yet • ICCV 2017

Modeling the long-term facial aging process is extremely challenging due to the presence of large and non-linear variations during the face development stages.

Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition

no code yet • CVPR 2016

In order to address this problem, we propose a novel deep face recognition framework to learn the age-invariant deep face features through a carefully designed CNN model.

Large age-gap face verification by feature injection in deep networks

no code yet • 19 Feb 2016

This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old.

A Maximum Entropy Feature Descriptor for Age Invariant Face Recognition

no code yet • CVPR 2015

In this paper, we propose a new approach to overcome the representation and matching problems in age invariant face recognition.

Face Prediction Model for an Automatic Age-invariant Face Recognition System

no code yet • 16 Apr 2015

Automated face recognition and identification softwares are becoming part of our daily life; it finds its abode not only with Facebook's auto photo tagging, Apple's iPhoto, Google's Picasa, Microsoft's Kinect, but also in Homeland Security Department's dedicated biometric face detection systems.