Age Estimation
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Benchmarks
UTKFace
CACD
MORPH album2 (Caucasian)
AFAD
AgeDB
MORPH Album2
MORPH Album2 (SE)
FGNET
ChaLearn 2015
mebeblurf
ChaLearn 2016
IMDB-Clean
LAGENDA
MORPH
KANFace
PhysioNet Challenge 2021
Most implemented
Rank consistent ordinal regression for neural networks with application to age estimation
Contrastive Order Learning: A General Framework for Ordinal Regression
FaceXFormer: A Unified Transformer for Facial Analysis
MiVOLO: Multi-input Transformer for Age and Gender Estimation
Papers
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 Estimation