Age Estimation
71 papers with code • 16 benchmarks • 19 datasets
Age Estimation is the task of estimating the age of a person from an image some other kind of data.
( Image credit: BridgeNet )
Benchmarks
These leaderboards are used to track progress in Age Estimation
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Libraries
Use these libraries to find Age Estimation models and implementations
UTKFace
MORPH
Adience
CACD
FG-NET
AADB
AgeDB
MegaAge
Latest papers with no code
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
This study employs deep learning techniques to explore four speaker profiling tasks on the TIMIT dataset, namely gender classification, accent classification, age estimation, and speaker identification, highlighting the potential and challenges of multi-task learning versus single-task models.
FaceFilterSense: A Filter-Resistant Face Recognition and Facial Attribute Analysis Framework
To mitigate these limitations, we aim to perform a holistic impact analysis of the latest filters and propose an user recognition model with the filtered images.
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities
This paper explores the application of large language models (LLMs), like ChatGPT, for biometric tasks.
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation
To overcome these limitations, we propose a Dual Graph Attention based Disentanglement Multi-instance Learning (DGA-DMIL) framework for improving brain age estimation.
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?
We compare pre-training models with human context via 1) group attributes, 2) individual users, and 3) a combined approach on 5 user- and document-level tasks.
Triamese-ViT: A 3D-Aware Method for Robust Brain Age Estimation from MRIs
However, the untapped potential of Vision Transformers (ViTs), known for their accuracy and interpretability, persists in this domain due to limitations in their 3D versions.
CZL-CIAE: CLIP-driven Zero-shot Learning for Correcting Inverse Age Estimation
Zero-shot age estimation aims to learn feature information about age from input images and make inferences about a given person's image or video frame without specific sample data.
Predicting Age from White Matter Diffusivity with Residual Learning
We find that the ResNet model captures subtler, non-macrostructural features for brain age prediction.
P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification
To address these challenges, we propose AgeFormer which utilizes spatio-temporal information on the dynamics of the entire body dominating face-based methods for age classification.
Deep Imbalanced Regression via Hierarchical Classification Adjustment
To improve regression performance over the entire range of data, we propose to construct hierarchical classifiers for solving imbalanced regression tasks.
