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
Most implemented papers
Competing Ratio Loss for Discriminative Multi-class Image Classification
However, during the training of the deep convolutional neural network, the value of NLLR is not always positive or negative, which severely affects the convergence of NLLR.
SimLoss: Class Similarities in Cross Entropy
One common loss function in neural network classification tasks is Categorical Cross Entropy (CCE), which punishes all misclassifications equally.
Order Learning and Its Application to Age Estimation
changsukim-ku/order-learning
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ICLR 2020
We propose order learning to determine the order graph of classes, representing ranks or priorities, and classify an object instance into one of the classes.
Attention-Guided Discriminative Region Localization and Label Distribution Learning for Bone Age Assessment
chenchao666/Bone-Age-Assessment
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However, training with the global image underutilizes discriminative local information, while providing extra annotations is expensive and subjective.
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
prijatelj/bayesian_eval_ground_truth-free
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An interesting development in automatic visual recognition has been the emergence of tasks where it is not possible to assign objective labels to images, yet still feasible to collect annotations that reflect human judgements about them.
Deep Ordinal Regression with Label Diversity
By discretizing the target into a set of non-overlapping classes, it has been shown that training a classifier can improve neural network accuracy compared to using a standard regression approach.
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
gaobb/DLDL-v2
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The effectiveness of our approach has been demonstrated on both facial age and attractiveness estimation tasks.
Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
Thus, a whole-body assessment of the BA does not reflect the deviations of aging behavior between organs.
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
In this paper, we introduce a new large-scale face database from KIST, denoted as K-FACE, and describe a novel capturing device specifically designed to obtain the data.
Adversarial Regression Learning for Bone Age Estimation
YoushanZhang/Adversarial-Regression-Learning-for-Bone-Age-Estimation
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In this paper, we propose an adversarial regression learning network (ARLNet) for bone age estimation.
