Age-Invariant Face Recognition
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Benchmarks
Most implemented
Cross-Age Contrastive Learning for Age-Invariant Face Recognition
ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework
Decorrelated Adversarial Learning for Age-Invariant Face Recognition
Papers
From Age Estimation to Age-Invariant Face Recognition: Generalized Age Feature Extraction Using Order-Enhanced Contrastive Learning
Generalized age feature extraction is crucial for age-related facial analysis tasks, such as age estimation and age-invariant face recognition (AIFR). Despite the recent successes of models in homogeneous-dataset experim…
Age EstimationAge-Invariant Face RecognitionContrastive LearningFace Recognition+1Unmasking the Uniqueness: A Glimpse into Age-Invariant Face Recognition of Indigenous African Faces
The task of recognizing the age-separated faces of an individual, Age-Invariant Face Recognition (AIFR), has received considerable research efforts in Europe, America, and Asia, compared to Africa. Thus, AIFR research ef…
Age-Invariant Face RecognitionFace RecognitionSynthetic Face Ageing: Evaluation, Analysis and Facilitation of Age-Robust Facial Recognition Algorithms
The ability to accurately recognize an individual's face with respect to human aging factor holds significant importance for various private as well as government sectors such as customs and public security bureaus, pass…
Age-Invariant Face RecognitionFace RecognitionHuman AgingCross-Age Contrastive Learning for Age-Invariant Face Recognition
Cross-age facial images are typically challenging and expensive to collect, making noise-free age-oriented datasets relatively small compared to widely-used large-scale facial datasets. Additionally, in real scenarios, i…
Age-Invariant Face RecognitionContrastive LearningFace GenerationFace Recognition+1When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and A New Benchmark
To minimize the impact of age variation on face recognition, age-invariant face recognition (AIFR) extracts identity-related discriminative features by minimizing the correlation between identity- and age-related feature…
Age-Invariant Face RecognitionFace GenerationFace RecognitionMulti-Task LearningDeep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features
Imaging of facial affects may be used to measure psychophysiological attributes of children through their adulthood for applications in education, healthcare, and entertainment, among others. Deep convolutional neural ne…
Age-Invariant Face RecognitionClassificationDomain AdaptationFace Recognition+2