computer-vision

Gender Prediction

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in gender-prediction

Trend

Dataset

Best Model

Actions

FotW Gender

LAGENDA

AgeDB

Libraries

i

Use these libraries to find gender-prediction models and implementations

Datasets

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Most implemented papers

Real-time Convolutional Neural Networks for emotion and gender classification

P. Plöger, Matias Valdenegro-Toro, Octavio Arriaga•Thu Oct 19 2017

It is argued that the careful implementation of modern CNN architectures, the use of the current regularization methods and the visualization of previously hidden features are necessary in order to reduce the gap between slow performances and real-time architectures.

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Rank consistent ordinal regression for neural networks with application to age estimation

S. Raschka, Wenzhi Cao, Vahid Mirjalili•Sat Jan 19 2019

The COnsistent RAnk Logits (CORAL) framework is proposed with strong theoretical guarantees for rank-monotonicity and consistent confidence scores and can extend arbitrary state-of-the-art deep neural network classifiers for ordinal regression tasks.

274 0

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Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning

Chu-Song Chen, Steven C. Y. Hung, Jia-Hong Lee, Timmy S. T. Wan, Chien-Hung Chen, Yi-Ming Chan•Tue Jun 04 2019

The proposed packing-and-expanding method is effective and easy to implement, which can iteratively shrink and enlarge the model to integrate new functions and maintains the compactness in continual learning.

47 0

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A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing

M. Zhang, Shaoping Ma, Weizhi Ma, Yiqun Liu, Bin Hao, Shaoyun Shi, Xinxing Yu, Houzhi Shan•Thu Jun 10 2021

A new large-scale dataset collected from a knowledge-sharing platform is presented, which is composed of around 100M interactions collected within 10 days, and can be used to evaluate algorithms in general top-N recommendation, sequential recommendation, and context-aware recommendation.

18 0

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Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL

W. Samek, Nils Strodthoff, Patrick Wagner, T. Schaeffter•Mon Apr 27 2020

First benchmarking results for the recently published, freely accessible clinical 12-lead ECG dataset PTB-XL are put forward, finding that convolutional neural networks, in particular resnet- and inception-based architectures, show the strongest performance across all tasks.

407 0

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Self-Supervised Transformers for fMRI representation

Lior Wolf, Itzik Malkiel, Gony Rosenman, T. Hendler•Thu Dec 09 2021

TFF, which is a Transformer framework for the analysis of functional Magnetic Resonance Imaging (fMRI) data, employs a two-phase training approach, which shows state-of-the-art performance on a variety of fMRI tasks, including age and gender prediction, as well as schizophrenia recognition.

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Predicting Gender by First Name Using Character-level Machine Learning

Rosana C. B. Rego, V. M. Silva, V. M. Fernandes•Thu Jun 17 2021

The results indicate that the gender prediction can be performed from the feature extraction strategy looking at the names as a set of strings, with some models accurately predict gender in more than 95% of the cases.

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Modeling the Temporal Nature of Human Behavior for Demographics Prediction

A. Pentland, Bjarke Felbo, P. Sundsøy, S. Lehmann, Yves-Alexandre de Montjoye•Thu Nov 19 2015

This work model the raw mobile phone metadata directly using deep learning, exploiting the temporal nature of the patterns in the data, and shows that the method reaches state-of-the-art accuracy on both age and gender prediction using only the temporal modality in mobile metadata.

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A Fusion-based Gender Recognition Method Using Facial Images

H. Mohammadzade, Benyamin Ghojogh, S. Shouraki, Ensieh Iranmehr•Thu Nov 16 2017

This paper utilizes pre-processing and a landmark detection method in order to find the important landmarks of faces and takes advantage of both texture and geometrical information, the two dominant types of information in facial gender recognition.

14 0

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Robustness Disparities in Face Detection

John P. Dickerson, T. Goldstein, Samuel Dooley, George Z. Wei•Mon Nov 28 2022

This work uses both standard and recently released academic facial datasets to quantitatively analyze trends in face detection robustness and presents the first of its kind detailed benchmark of face detection systems, specifically examining the robustness to noise of commercial and academic models.

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