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
Differential Privacy Has Disparate Impact on Model Accuracy
ebagdasa/differential-privacy-vs-fairness
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NeurIPS 2019
The cost of differential privacy is a reduction in the model's accuracy.
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.
Arachne: Search Based Repair of Deep Neural Networks
coinse/arachne
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The rapid and widespread adoption of Deep Neural Networks (DNNs) has called for ways to test their behaviour, and many testing approaches have successfully revealed misbehaviour of DNNs.
Gender Classification and Bias Mitigation in Facial Images
We worked to increase classification accuracy and mitigate algorithmic biases on our baseline model trained on the augmented benchmark database.
Towards causal benchmarking of bias in face analysis algorithms
To address this problem we develop an experimental method for measuring algorithmic bias of face analysis algorithms, which manipulates directly the attributes of interest, e. g., gender and skin tone, in order to reveal causal links between attribute variation and performance change.
Adversarial Brain Multiplex Prediction From a Single Network for High-Order Connectional Gender-Specific Brain Mapping
basiralab/ABMT
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Differently, in this paper, we tap into the nascent field of geometric-GANs (G-GAN) to design a deep multiplex prediction architecture comprising (i) a geometric source to target network translator mimicking a U-Net architecture with skip connections and (ii) a conditional discriminator which classifies predicted target intra-layers by conditioning on the multiplex source intra-layers.
Deep Learning Analysis and Age Prediction from Shoeprints
We collected 100, 000 shoeprints of subjects ranging from 7 to 80 years old and used the data to develop a deep learning end-to-end model ShoeNet to analyze age-related patterns and predict age.
The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers
With this trick, the model detects an attribute in a drawing and also recognizes the points linked to it.
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
The characterisation of the brain as a functional network in which the connections between brain regions are represented by correlation values across time series has been very popular in the last years.
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment
yuyanggao/res
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We propose a novel framework of Interactive Attention Alignment (IAA) that aims at realizing human-steerable Deep Neural Networks (DNNs).
