Papers Gender Classification
“Gender Classification” 태그가 달린 논문 150편 · 필터 해제
ArcFace Knows the Gender, Too!
The main idea of this paper is that if a model can recognize a person, of course, it must be able to know the gender of that person, too. Therefore, instead of defining a new model for gender classification, this paper u…
Gender ClassificationCinderella's shoe won't fit Soundarya: An audit of facial processing tools on Indian faces
The increasing adoption of facial processing systems in India is fraught with concerns of privacy, transparency, accountability, and missing procedural safeguards. At the same time, we also know very little about how the…
Age ClassificationFace DetectionGender ClassificationClassifying Emotional Utterances by Employing Multi-modal Speech Emotion Recognition
Deep learning methods are being applied to several speech processing problems in recent years. In the present work, we have explored different deep learning models for speech emotion recognition. We have employed normal …
Emotion RecognitionGender ClassificationSpeech Emotion RecognitionFacial Information Analysis Technology for Gender and Age Estimation
This is a study on facial information analysis technology for estimating gender and age, and poses are estimated using a transformation relationship matrix between the camera coordinate system and the world coordinate sy…
Age EstimationClassificationDeep LearningGender ClassificationAnalyzing Gender Representation in Multilingual Models
Multilingual language models were shown to allow for nontrivial transfer across scripts and languages. In this work, we study the structure of the internal representations that enable this transfer. We focus on the repre…
Gender ClassificationReal-time Emotion and Gender Classification using Ensemble CNN
Analysing expressions on the person's face plays a very vital role in identifying emotions and behavior of a person. Recognizing these expressions automatically results in a crucial component of natural human-machine int…
ClassificationEmotion ClassificationGender ClassificationAge and Gender Prediction using Deep CNNs and Transfer Learning
The last decade or two has witnessed a boom of images. With the increasing ubiquity of cameras and with the advent of selfies, the number of facial images available in the world has skyrocketed. Consequently, there has b…
Age ClassificationAge EstimationGender ClassificationGender Prediction+1Harnessing Unlabeled Data to Improve Generalization of Biometric Gender and Age Classifiers
With significant advances in deep learning, many computer vision applications have reached the inflection point. However, these deep learning models need large amount of labeled data for model training and optimum parame…
Age ClassificationDeep LearningGender Classificationparameter estimationInvestigating Fairness of Ocular Biometrics Among Young, Middle-Aged, and Older Adults
A number of studies suggest bias of the face biometrics, i.e., face recognition and soft-biometric estimation methods, across gender, race, and age groups. There is a recent urge to investigate the bias of different biom…
Age ClassificationFace RecognitionFairnessGender ClassificationDynamic 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. Although this rep…
Age And Gender ClassificationGender ClassificationGraph structure learningTime Series AnalysisDataset Bias Mitigation Through Analysis of CNN Training Scores
Training datasets are crucial for convolutional neural network-based algorithms, which directly impact their overall performance. As such, using a well-structured dataset that has minimum level of bias is always desirabl…
Gender ClassificationPredicting and Explaining French Grammatical Gender
Grammatical gender may be determined by semantics, orthography, phonology, or could even be arbitrary. Identifying patterns in the factors that govern noun genders can be useful for language learners, and for understandi…
Gender ClassificationDoes Face Recognition Error Echo Gender Classification Error?
This paper is the first to explore the question of whether images that are classified incorrectly by a face analytics algorithm (e.g., gender classification) are any more or less likely to participate in an image pair th…
ClassificationFace RecognitionGender ClassificationGeneral ClassificationTowards Measuring Fairness in AI: the Casual Conversations Dataset
This paper introduces a novel dataset to help researchers evaluate their computer vision and audio models for accuracy across a diverse set of age, genders, apparent skin tones and ambient lighting conditions. Our datase…
Age And Gender ClassificationDeepFake DetectionFace SwappingFairness+2The FaCells. An Exploratory Study about LSTM Layers on Face Sketches Classifiers
Lines are human mental abstractions. A bunch of lines may form a drawing. A set of drawings can feed an LSTM network input layer, considering each draw as a list of lines and a line a list of points. This paper proposes …
AttributeGender ClassificationWhat's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models
Gender information is no longer a mandatory input when registering for an account at many leading Internet companies. However, prediction of demographic information such as gender and age remains an important task, espec…
BIG-bench Machine LearningGender ClassificationGeneral ClassificationRecommendation SystemsProbing Fairness of Mobile Ocular Biometrics Methods Across Gender on VISOB 2.0 Dataset
Recent research has questioned the fairness of face-based recognition and attribute classification methods (such as gender and race) for dark-skinned people and women. Ocular biometrics in the visible spectrum is an alte…
AttributeClassificationFairnessGender Classification+1Deep Learning Analysis and Age Prediction from Shoeprints
Human walking and gaits involve several complex body parts and are influenced by personality, mood, social and cultural traits, and aging. These factors are reflected in shoeprints, which in turn can be used to predict a…
Deep LearningGender ClassificationPredictionGender Prediction Based on Vietnamese Names with Machine Learning Techniques
As biological gender is one of the aspects of presenting individual human, much work has been done on gender classification based on people names. The proposals for English and Chinese languages are tremendous; still, th…
BIG-bench Machine LearningGender ClassificationGender PredictionText ClassificationGender prediction using limited Twitter Data
Transformer models have shown impressive performance on a variety of NLP tasks. Off-the-shelf, pre-trained models can be fine-tuned for specific NLP classification tasks, reducing the need for large amounts of additional…
Gender ClassificationGender PredictionPrediction