Age And Gender Classification
15 papers with code • 2 benchmarks • 4 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
Most implemented papers
Rank consistent ordinal regression for neural networks with application to age estimation
Raschka-research-group/coral-cnn
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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.
Age and Gender Classification using Convolutional Neural Networks
dpressel/rude-carnie
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2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2015
Automatic age and gender classification has become relevant to an increasing amount of applications, particularly since the rise of social platforms and social media.
Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning
ivclab/PAE
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Proceedings of the 2019 on International Conference on Multimedia Retrieval 2019
Simultaneously running multiple modules is a key requirement for a smart multimedia system for facial applications including face recognition, facial expression understanding, and gender identification.
Quantifying Facial Age by Posterior of Age Comparisons
We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels.
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
ShreyanshJoshi/Facial-Demographics-using-CNN
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In this paper, we propose a new CNN based method for age group and gender estimation leveraging Residual Networks of Residual Networks (RoR), which exhibits better optimization ability for age group and gender classification than other CNN architectures. Moreover, two modest mechanisms based on observation of the characteristics of age group are presented to further improve the performance of age estimation. In order to further improve the performance and alleviate over-fitting problem, RoR model is pre-trained on ImageNet firstly, and then it is fune-tuned on the IMDB-WIKI-101 data set for further learning the features of face images, finally, it is used to fine-tune on Adience data set.
A Fusion-based Gender Recognition Method Using Facial Images
This paper proposes a fusion-based gender recognition method which uses facial images as input.
007: Democratically Finding The Cause of Packet Drops
Network failures continue to plague datacenter operators as their symptoms may not have direct correlation with where or why they occur.
Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications
Automatic age and gender classification based on unconstrained images has become essential techniques on mobile devices.
Multimodal Age and Gender Classification Using Ear and Profile Face Images
Experimental results indicated that profile face images contain a rich source of information for age and gender classification.
Compacting, Picking and Growing for Unforgetting Continual Learning
First, it can avoid forgetting (i. e., learn new tasks while remembering all previous tasks).
