Papers Age Classification
“Age Classification” 태그가 달린 논문 29편 · 필터 해제
Visual Attention Graph
Visual attention plays a critical role when our visual system executes active visual tasks by interacting with the physical scene. However, how to encode the visual object relationship in the psychological world of our b…
Age ClassificationTransECG: Leveraging Transformers for Explainable ECG Re-identification Risk Analysis
Electrocardiogram (ECG) signals are widely shared across multiple clinical applications for diagnosis, health monitoring, and biometric authentication. While valuable for healthcare, they also carry unique biometric iden…
Age ClassificationGender ClassificationA Preliminary Exploration with GPT-4o Voice Mode
With the rise of multimodal large language models, GPT-4o stands out as a pioneering model, driving us to evaluate its capabilities. This report assesses GPT-4o across various tasks to analyze its audio processing and re…
Age ClassificationAudio Deepfake DetectionClassificationDeepFake Detection+7BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Texts
Author profiling, the analysis of texts to uncover attributes such as gender and age of the author, has become essential with the widespread use of social media platforms. This paper focuses on author profiling in the Ba…
Age And Gender ClassificationAge and Gender EstimationAge ClassificationAuthor Profiling+3Zero-shot Building Age Classification from Facade Image Using GPT-4
A building's age of construction is crucial for supporting many geospatial applications. Much current research focuses on estimating building age from facade images using deep learning. However, building an accurate deep…
Age ClassificationHuman Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks
We present a novel LLM-based pipeline for creating contextual descriptions of human body poses in images using only auxiliary attributes. This approach facilitates the creation of the MPII Pose Descriptions dataset, whic…
Activity RecognitionAge ClassificationEmotion RecognitionMulti-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
Human facial data hold tremendous potential to address a variety of classification problems, including face recognition, age estimation, gender identification, emotion analysis, and race classification. However, recent p…
Age ClassificationAge EstimationClassificationEmotion Recognition+1P-Age: Pexels Dataset for Robust Spatio-Temporal Apparent Age Classification
Age estimation is a challenging task that has numerous applications. In this paper, we propose a new direction for age classification that utilizes a video-based model to address challenges such as occlusions, low-resolu…
Age ClassificationAge EstimationClassificationContent Bias in Deep Learning Image Age Approximation: A new Approach Towards better Explainability
In the context of temporal image forensics, it is not evident that a neural network, trained on images from different time-slots (classes), exploits solely image age related features. Usually, images taken in close tempo…
Age ClassificationImage ForensicsSteganalysisExplaining machine learning models for age classification in human gait analysis
Machine learning (ML) models have proven effective in classifying gait analysis data, e.g., binary classification of young vs. older adults. ML models, however, lack in providing human understandable explanations for the…
Age ClassificationBinary ClassificationExplainable artificial intelligenceAn Examination of Bias of Facial Analysis based BMI Prediction Models
Obesity is one of the most important public health problems that the world is facing today. A recent trend is in the development of intervention tools that predict BMI using facial images for weight monitoring and manage…
Age ClassificationFace RecognitionManagementMORPH+1Towards Speaker Age Estimation with Label Distribution Learning
Existing methods for speaker age estimation usually treat it as a multi-class classification or a regression problem. However, precise age identification remains a challenge due to label ambiguity, \emph{i.e.}, utterance…
Age ClassificationAge EstimationMulti-class ClassificationregressionEfficacy of Transformer Networks for Classification of Raw EEG Data
With the unprecedented success of transformer networks in natural language processing (NLP), recently, they have been successfully adapted to areas like computer vision, generative adversarial networks (GAN), and reinfor…
Age ClassificationAge EstimationClassificationEEG+6Infant Brain Age Classification: 2D CNN Outperforms 3D CNN in Small Dataset
Determining if the brain is developing normally is a key component of pediatric neuroradiology and neurology. Brain magnetic resonance imaging (MRI) of infants demonstrates a specific pattern of development beyond simply…
Age 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 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 ClassificationData Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics
Machine learning models are commonly applied to human brain imaging datasets in an effort to associate function or structure with behaviour, health, or other individual phenotypes. Such models often rely on low-dimension…
Age ClassificationData AugmentationDimensionality ReductionInfant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification
From crying to babbling and then to speech, infant's vocal tract goes through anatomic restructuring. In this paper, we propose a non-invasive fast method of using infant cry signals with convolutional neural network (CN…
Age ClassificationGeneral Classification