Gender Classification
25 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Gender Classification
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Libraries
Use these libraries to find Gender Classification models and implementations
PsyMo
Most implemented papers
Real-time Convolutional Neural Networks for Emotion and Gender Classification
oarriaga/face_classification
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In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.
IdentiFace : A VGG Based Multimodal Facial Biometric System
In this paper, we introduce "IdentiFace" which is a multimodal facial biometric system that combines the core of facial recognition with some of the most important soft biometric traits such as gender, face shape, and emotion.
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.
Representation Learning with Statistical Independence to Mitigate Bias
Presence of bias (in datasets or tasks) is inarguably one of the most critical challenges in machine learning applications that has alluded to pivotal debates in recent years.
Efficient Gender Classification Using a Deep LDA-Pruned Net
tchaton/deeplda
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Many real-time tasks, such as human-computer interaction, require fast and efficient facial gender classification.
Decoupling "when to update" from "how to update"
emalach/UpdateByDisagreement
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NeurIPS 2017
Unfortunately, this approach often leads to noisy labels.
Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
iPRoBe-lab/semi-adversarial-networks
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In this paper, we design and evaluate a convolutional autoencoder that perturbs an input face image to impart privacy to a subject.
Protecting Sensory Data against Sensitive Inferences
Results show that the proposed framework maintains the usefulness of the transformed data for activity recognition, with an average loss of only around three percentage points, while reducing the possibility of gender classification to around 50\%, the target random guess, from more than 90\% when using raw sensor data.
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.
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors.
