Gender Classification

26 papers with code • 1 benchmarks • 2 datasets

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Libraries

Use these libraries to find Gender Classification models and implementations

Most implemented papers

Real-time Convolutional Neural Networks for Emotion and Gender Classification

oarriaga/face_classification 20 Oct 2017

In this paper we propose an implement a general convolutional neural network (CNN) building framework for designing real-time CNNs.

Age and Gender Classification using Convolutional Neural Networks

dpressel/rude-carnie 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

QingyuZhao/BR-Net 8 Oct 2019

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 20 Apr 2017

Many real-time tasks, such as human-computer interaction, require fast and efficient facial gender classification.

Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images

iPRoBe-lab/semi-adversarial-networks 1 Dec 2017

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

mmalekzadeh/motion-sense 21 Feb 2018

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

ivclab/agegenderLMTCNN 6 Jun 2018

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

Developer-Y/cs-video-courses 1 May 2019

This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors.