Age Estimation Edit Task
Computer Vision • Facial Recognition and Modelling
About
Age Estimation is the task of estimating the age of a person from an image.
( Image credit: BridgeNet )
Benchmarks
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Datasets
Greatest papers with code
Rank consistent ordinal regression for neural networks with application to age estimation
• Raschka-research-group/coral-cnn
• 
In many real-world prediction tasks, class labels include information about the relative ordering between labels, which is not captured by commonly-used loss functions such as multi-category cross-entropy.
Ranked #1 on
Age Estimation
on AFAD
AGE AND GENDER CLASSIFICATION AGE ESTIMATION GENDER PREDICTION
An All-In-One Convolutional Neural Network for Face Analysis
The proposed method employs a multi-task learning framework that regularizes the shared parameters of CNN and builds a synergy among different domains and tasks.
Ranked #9 on
Face Verification
on IJB-A
AGE ESTIMATION FACE ALIGNMENT FACE DETECTION FACE RECOGNITION FACE VERIFICATION MULTI-TASK LEARNING POSE ESTIMATION
C3AE: Exploring the Limits of Compact Model for Age Estimation
CVPR 2019
• StevenBanama/C3AE
• 
Recently, MobileNets and ShuffleNets have been proposed to reduce the number of parameters, yielding lightweight models.
Ranked #1 on
Age Estimation
on FGNET
Facial age estimation by deep residual decision making
• Nicholasli1995/VisualizingNDF
•
Residual representation learning simplifies the optimization problem of learning complex functions and has been widely used by traditional convolutional neural networks.
Ranked #1 on
Age Estimation
on CACD
Deep Label Distribution Learning with Label Ambiguity
However, it is difficult to collect sufficient training images with precise labels in some domains such as apparent age estimation, head pose estimation, multi-label classification and semantic segmentation.
Ranked #1 on
Age Estimation
on ChaLearn 2015
AGE ESTIMATION HEAD POSE ESTIMATION MULTI-LABEL CLASSIFICATION SEMANTIC SEGMENTATION
Deep Regression Forests for Age Estimation
Age estimation from facial images is typically cast as a nonlinear regression problem.
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
ICLR 2020
• changsukim-ku/order-learning
•
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.
PFA-GAN: Progressive Face Aging with Generative Adversarial Network
• Hzzone/PFA-GAN
•
Although impressive results have been achieved with conditional generative adversarial networks (cGANs), the existing cGANs-based methods typically use a single network to learn various aging effects between any two different age groups.
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.
Ranked #1 on
Age Estimation
on UTKFace
AGE ESTIMATION HEAD POSE ESTIMATION HISTORICAL COLOR IMAGE DATING