Papers Age Estimation
“Age Estimation” 태그가 달린 논문 301편 · 필터 해제
Beyond Homoscedasticity: Decoupled Uncertainty Optimization for Deep Imbalanced Regression
Deep Imbalanced Regression (DIR) is pervasive in continuous prediction tasks across diverse modalities, such as age estimation, depth prediction, and protein mutation activity prediction, where label-scarce tail samples …
Contrastive LearningActivity PredictionAge EstimationLatent Ordinal Evidence, Misaligned Outputs: Inference-Time Ordinal Lens Alignment for Multimodal LLMs
Multimodal LLMs apply the language model interface to visual inputs, where ordinal regression tasks such as age estimation, image quality assessment, and disease grading require autoregressive decisions over ordered clas…
Image Quality AssessmentAge EstimationBrainNorm: A Foundation Model that knows Normal via Semantic Atlas Pretraining
We introduce BrainNorm, a normative foundation model, trained and tested on ~66,000 T1-weighted structural MRI (T1w sMRI) scans. By leveraging language-image style contrastive pretraining on healthy cohorts across ages, …
Age EstimationTowards Reliable and Reproducible Fetal Brain Biometry: A Deep Learning Approach Using MRI
Fetal brain biometry is essential for quantitative assessment of brain development, supporting gestational age estimation, developmental monitoring, and detection of abnormalities. In clinical practice, measurements are …
Brain SegmentationAge EstimationMAGE-Vein: Multi-Instance Age and Gender Estimation from Finger Vein Images
Age estimation from finger vein images has been widely considered impractical due to severe demographic biases in public datasets and physiological confounding factors like gender. To overcome these limitations, we propo…
Age and Gender EstimationMulti-Task LearningAge EstimationContrastive Order Learning: A General Framework for Ordinal Regression
We propose contrastive order learning (ConOrd), a contrastive learning framework for ordinal regression that integrates the strengths of contrastive learning and order learning. While contrastive learning effectively lev…
Image Quality AssessmentVideo Quality AssessmentContrastive LearningAge EstimationBCG-FM: A Foundation Model for Ambient Cardiac Health Sensing
Foundation models for wearable biosignals have matched or exceeded supervised specialists across a range of clinical tasks, yet all rely on modalities that require deliberate user action--wearing a device or visiting a s…
Contrastive LearningAge EstimationToward a More Ethical Facial Age Estimation: A Generalized Zero-Shot Benchmark Without Training on Children's Data
Age estimation from facial images typically relies on training data that includes images of minors, a practice that raises ethical, legal, and privacy concerns and that child-data governance frameworks explicitly advise …
Generalized Zero-Shot LearningAge EstimationPosition: Age Estimation Models Do Not Process Biometric Data
When a neural network estimates someone's age from a photograph, does it process biometric data? The answer depends on whether identity-discriminative representations arise within the network during inference, a question…
Face VerificationAge EstimationWhen a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering
Different age-related regulations have been proposed to protect minors from harmful content and interactions online. Automated age estimation is central to enforcing such regulations, and vision-language models (VLMs) ac…
Age EstimationNeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces
Foundation models (FMs) promise to extract unified representations that generalize across downstream tasks. They have emerged across fields, including electroencephalography (EEG), but it is less clear how effective they…
Age EstimationLearning Multi-Relational Graph Representations for DNA Methylation-Based Biological Age Estimation
Aging clocks aim to estimate biological age, a measure of physiological state distinct from chronological age, from observable biomarkers, and are widely used for health assessment and disease analysis. DNA methylation i…
Graph Neural NetworkAge EstimationBrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single self-supervised represe…
Self-Supervised LearningRepresentation LearningTumor SegmentationAge EstimationMobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment
Mobile deployment of facial age estimation requires models that balance predictive accuracy with low latency and compact size. In this work, we present MobileAgeNet, a lightweight age-regression framework that achieves a…
Hyperparameter OptimizationAge EstimationFew-Shot Personalized Age Estimation
Existing age estimation methods treat each face as an independent sample, learning a global mapping from appearance to age. This ignores a well-documented phenomenon: individuals age at different rates due to genetics, l…
Domain AdaptationAge EstimationApparent Age Estimation: Challenges and Outcomes
Apparent age estimation is a valuable tool for business personalization, yet current models frequently exhibit demographic biases. We review prior works on the DEX method by applying distribution learning techniques such…
Age EstimationVLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation
Human age estimation from facial images represents a challenging computer vision task with significant applications in biometrics, healthcare, and human-computer interaction. While traditional deep learning approaches re…
Age EstimationA practical artificial intelligence framework for legal age estimation using clavicle computed tomography scans
Legal age estimation plays a critical role in forensic and medico-legal contexts, where decisions must be supported by accurate, robust, and reproducible methods with explicit uncertainty quantification. While prior arti…
Age EstimationFDeID-Toolbox: Face De-Identification Toolbox
Face de-identification (FDeID) aims to remove personally identifiable information from facial images while preserving task-relevant utility attributes such as age, gender, and expression. It is critical for privacy-prese…
Age EstimationFew-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
Foundation models pretrained on large-scale 3D medical imaging data face challenges when adapted to multiple downstream tasks under continual learning with limited labeled data. We address few-shot continual learning for…
Continual LearningTumor SegmentationAge Estimation