Age And Gender Classification
15 papers with code • 2 benchmarks • 5 datasets
Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.
( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )
Benchmarks
These leaderboards are used to track progress in Age And Gender Classification
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Adience
CI-MNIST
IMDB-Clean
LAGENDA
Age and Gender
Latest papers with no code
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images
The model can, therefore, be applied as a core classification component in various image processing and computer vision problems.
Age and Gender Classification with Small Scale CNN
Artificial intelligence is getting a crucial part of our lives with its incredible benefits.
Towards Measuring Fairness in AI: the Casual Conversations Dataset
The videos were recorded in multiple U. S. states with a diverse set of adults in various age, gender and apparent skin tone groups.
Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities
We empirically analyze the different components of our proposed approach and demonstrate their contribution to the performance of the model.
Probabilistic Deep Ordinal Regression Based on Gaussian Processes
Based on that, it proposes a deep neural network with a GPs layer on the top, which is trained end-to-end by the stochastic gradient descent method for both neural network parameters and GPs parameters.
Soft Labels for Ordinal Regression
Ordinal regression attempts to solve classification problems in which categories are not independent, but rather follow a natural order.
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks
The facial images are categorized into one of three age groups (young, adult and elder group) based on their estimated age, and the system makes a gender prediction according to average fusion strategy of three gender classification experts, which are trained to fit gender characteristics of each age group.
Age and Gender Classification From Ear Images
Although there have been a few previous work on gender classification using ear images, to the best of our knowledge, this study is the first work on age classification from ear images.
Fine-Grained Age Estimation in the wild with Attention LSTM Networks
Then, we fine-tune the ResNets or the RoR on the target age datasets to extract the global features of face images.
SAF- BAGE: Salient Approach for Facial Soft-Biometric Classification - Age, Gender, and Facial Expression
This paper explores the use of saliency which is equivalent to the human visual system to classify Age, Gender and Facial Expression soft-biometric for facial images.
