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Papers Age Estimation

“Age Estimation” 태그가 달린 논문 301편 · 필터 해제

Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems

2026-02-23 · Xingyu Shen, Tommy Duong, Xiaodong An, Zengqi Zhao 외 arxiv

Age estimation systems are increasingly deployed as gatekeepers for age-restricted online content, yet their robustness to cosmetic modifications has not been systematically evaluated. We investigate whether simple, hous…

Adversarial RobustnessAge Estimation

ReBA-Pred-Net: Weakly-Supervised Regional Brain Age Prediction on MRI

2026-02-13 · Shuai Shao, Yan Wang, Shu Jiang, Shiyuan Zhao 외 arxiv

Brain age has become a prominent biomarker of brain health. Yet most prior work targets whole brain age (WBA), a coarse paradigm that struggles to support tasks such as disease characterization and research on developmen…

Age Estimation

Out of the box age estimation through facial imagery: A Comprehensive Benchmark of Vision-Language Models vs. out-of-the-box Traditional Architectures

2026-02-08 · Simiao Ren, Xingyu Shen, Ankit Raj, Albert Dai 외 arxiv

Facial age estimation plays a critical role in content moderation, age verification, and deepfake detection. However, no prior benchmark has systematically compared modern vision-language models (VLMs) with specialized a…

DeepFake DetectionAge Estimation

Beyond Length: Context-Aware Expansion and Independence as Developmentally Sensitive Evaluation in Child Utterances

2026-02-05 · Jiyun Chun, Eric Fosler-Lussier, Michael White, Andrew Perrault arxiv

Evaluating the quality of children's utterances in adult-child dialogue remains challenging due to insufficient context-sensitive metrics. Common proxies such as Mean Length of Utterance (MLU), lexical diversity (vocd-D)…

Age Estimation

Physiology as Language: Translating Respiration to Sleep EEG

2026-01-31 · Kaiwen Zha, Chao Li, Hao He, Peng Cao 외 arxiv

This paper introduces a novel cross-physiology translation task: synthesizing sleep electroencephalography (EEG) from respiration signals. To address the significant complexity gap between the two modalities, we propose …

Age Estimation

Trustworthy Data-driven Chronological Age Estimation from Panoramic Dental Images

2026-01-19 · Ainhoa Vivel-Couso, Nicolás Vila-Blanco, María J. Carreira, Alberto Bugarín-Diz 외 arxiv

Integrating deep learning into healthcare enables personalized care but raises trust issues due to model opacity. To improve transparency, we propose a system for dental age estimation from panoramic images that combines…

Age Estimation

Focal-RegionFace: Generating Fine-Grained Multi-attribute Descriptions for Arbitrarily Selected Face Focal Regions

2026-01-01 · Kaiwen Zheng, Junchen Fu, Songpei Xu, Yaoqing He 외 arxiv

In this paper, we introduce an underexplored problem in facial analysis: generating and recognizing multi-attribute natural language descriptions, containing facial action units (AUs), emotional states, and age estimatio…

Age Estimation

Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models

2025-12-10 · Magnus Ruud Kjaer, Rahul Thapa, Gauri Ganjoo, Hyatt Moore 외 arxiv

Polysomnography (PSG), the gold standard test for sleep analysis, generates vast amounts of multimodal clinical data, presenting an opportunity to leverage self-supervised representation learning (SSRL) for pre-training …

Representation LearningMortality PredictionContrastive LearningAge Estimation

MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata

2025-12-10 · Yihao Liu, Chenyu Gao, Lianrui Zuo, Michael E. Kim 외 arxiv

Modern deep learning methods have achieved impressive results across tasks from disease classification, estimating continuous biomarkers, to generating realistic medical images. Most of these approaches are trained to mo…

Image GenerationAge Estimation

Evaluating the Clinical Impact of Generative Inpainting on Bone Age Estimation

2025-11-28 · Felipe Akio Matsuoka, Eduardo Moreno J. M. Farina, Augusto Sarquis Serpa, Soraya Monteiro 외 arxiv

Generative foundation models can remove visual artifacts through realistic image inpainting, but their impact on medical AI performance remains uncertain. Pediatric hand radiographs often contain non-anatomical markers, …

Gender PredictionImage InpaintingAge Estimation

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation

2025-11-27 · Simon Joseph Clément Crête, Marta Kersten-Oertel, Yiming Xiao arxiv

MRI-based brain age estimation models aim to assess a subject's biological brain age based on information, such as neuroanatomical features. Various factors, including neurodegenerative diseases, can accelerate brain agi…

Contrastive LearningAge Estimation

BrainRotViT: Transformer-ResNet Hybrid for Explainable Modeling of Brain Aging from 3D sMRI

2025-11-19 · Wasif Jalal, Md Nafiu Rahman, Atif Hasan Rahman, M. Sohel Rahman arxiv

Accurate brain age estimation from structural MRI is a valuable biomarker for studying aging and neurodegeneration. Traditional regression and CNN-based methods face limitations such as manual feature engineering, limite…

Feature EngineeringAge Estimation

Impact of Image Resolution on Age Estimation with DeepFace and InsightFace

2025-11-18 · Shiyar Jamo arxiv

Automatic age estimation is widely used for age verification, where input images often vary considerably in resolution. This study evaluates the effect of image resolution on age estimation accuracy using DeepFace and In…

Age Estimation

Photo Dating by Facial Age Aggregation

2025-11-07 · Jakub Paplham, Vojtech Franc arxiv

We introduce a novel method for Photo Dating which estimates the year a photograph was taken by leveraging information from the faces of people present in the image. To facilitate this research, we publicly release CSFD-…

Face RecognitionAge Estimation

Integrating ConvNeXt and Vision Transformers for Enhancing Facial Age Estimation

2025-10-31 · Gaby Maroun, Salah Eddine Bekhouche, Fadi Dornaika arxiv

Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid architecture that combines ConvNeXt, a state-of-the-art advancement of convolutional …

Age Estimation

sMRI-based Brain Age Estimation in MCI using Persistent Homology

2025-10-27 · Debanjali Bhattacharya, Neelam Sinha arxiv

In this study, we propose the use of persistent homology -- specifically Betti curves for brain age prediction and for distinguishing between healthy and pathological aging. The proposed framework is applied to 100 struc…

Age Estimation

An Autoencoder and Vision Transformer-based Interpretability Analysis of the Differences in Automated Staging of Second and Third Molars

2025-09-12 · Barkin Buyukcakir, Jannick De Tobel, Patrick Thevissen, Dirk Vandermeulen 외 arxiv

The practical adoption of deep learning in high-stakes forensic applications, such as dental age estimation, is often limited by the 'black box' nature of the models. This study introduces a framework designed to enhance…

Age Estimation

Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels

2025-09-02 · Alireza Sedighi Moghaddam, Mohammad Reza Mohammadi arxiv

Labeled data is a fundamental component in training supervised deep learning models for computer vision tasks. However, the labeling process, especially for ordinal image classification where class boundaries are often a…

Ordinal ClassificationImage ClassificationAge Estimation

Stage-wise Adaptive Label Distribution for Facial Age Estimation

2025-08-30 · Bo Wu, Zhiqi Ai, Jun Jiang, Congcong Zhu 외 arxiv

Label ambiguity poses a significant challenge in age estimation tasks. Most existing methods address this issue by modeling correlations between adjacent age groups through label distribution learning. However, they ofte…

Age Estimation

EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting

2025-08-29 · Yujin Park, Haejun Chung, Ikbeom Jang arxiv

Pairwise comparison is often favored over absolute rating or ordinal classification in subjective or difficult annotation tasks due to its improved reliability. However, exhaustive comparisons require a massive number of…

Image Quality AssessmentOrdinal ClassificationAge Estimation
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