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EGA — Ethnicity, gender and age, a pre-annotated face database
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9780470939413.ch4openalex-snapshot
The Development of Speech and Language
inferredcites →https://doi.org/10.1007/11595755_26openalex-snapshot
Investigating the Impact of Face Categorization on Recognition Performance
inferredcites →https://doi.org/10.1016/0010-0285(87)90016-8openalex-snapshot
Identification and ratings of caricatures: Implications for mental representations of faces
inferredcites →https://doi.org/10.1016/j.imavis.2011.01.002openalex-snapshot
Reverse caricatures effects on three-dimensional facial reconstructions
inferredcites →https://doi.org/10.1016/s0042-6989(01)00097-9openalex-snapshot
Bubbles: a technique to reveal the use of information in recognition tasks
inferredcites →https://doi.org/10.1016/s0262-8856(97)00070-xopenalex-snapshot
The FERET database and evaluation procedure for face-recognition algorithms
inferredcites →https://doi.org/10.1016/s0364-0213(02)00084-8openalex-snapshot
Face recognition algorithms and the other-race effect: computational mechanisms for a developmental contact hypothesis
inferredcites →https://doi.org/10.1037/h0080101openalex-snapshot
Recognizing familiar faces: The role of distinctiveness and familiarity.
inferredcites →https://doi.org/10.1109/afgr.1998.670949openalex-snapshot
Coding facial expressions with Gabor wavelets
inferredcites →https://doi.org/10.1109/cvpr.2005.268openalex-snapshot
Overview of the Face Recognition Grand Challenge
inferredcites →https://doi.org/10.1109/fgr.2006.78openalex-snapshot
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
inferredcites →https://doi.org/10.1109/iccvw.2011.6130517openalex-snapshot
VADANA: A dense dataset for facial image analysis
inferredcites →https://doi.org/10.1109/icpr.2010.828openalex-snapshot
Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits
inferredcites →https://doi.org/10.1109/imtc.2004.1351099openalex-snapshot
Accuracy and performance of biometric systems
inferredcites →https://doi.org/10.1109/tifs.2010.2054083openalex-snapshot
Plastic Surgery: A New Dimension to Face Recognition
inferredcites →https://doi.org/10.1109/tpami.2007.70733openalex-snapshot
Automatic Age Estimation Based on Facial Aging Patterns
inferredcites →https://doi.org/10.1109/tpami.2008.8openalex-snapshot
Correction to "Automatic Age Estimation Based on Facial Aging Patterns"
inferredcites →https://doi.org/10.1145/2072521.2072524openalex-snapshot
Measuring measures for face sample quality
inferredcites →https://doi.org/10.2307/1128809openalex-snapshot
Children's Ability to Recognize Other Children's Faces
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.5281/zenodo.1087014openalex-extracted
Fusing Local Binary Patterns With Wavelet Features For Ethnicity Identification
inferred← citeshttps://doi.org/10.1007/978-3-030-13469-3_66openalex-snapshot
On Combining Face Local Appearance and Geometrical Features for Race Classification
inferred← citeshttps://doi.org/10.1007/978-3-030-68793-9_12openalex-snapshot
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
inferred← citeshttps://doi.org/10.1007/978-3-319-23231-7_2openalex-snapshot
MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset
inferred← citeshttps://doi.org/10.1007/978-3-319-68560-1_38openalex-snapshot
Weighty LBP: A New Selection Strategy of LBP Codes Depending on Their Information Content
inferred← citeshttps://doi.org/10.1007/978-3-642-41181-6_48openalex-snapshot
Demographics versus Biometric Automatic Interoperability
inferred← citeshttps://doi.org/10.1007/978-3-642-54080-6_6openalex-snapshot
Unconstrained Ear Processing: What is Possible and What Must Be Done
inferred← citeshttps://doi.org/10.1007/s00138-020-01123-zopenalex-snapshot
Benchmarking deep network architectures for ethnicity recognition using a new large face dataset
inferred← citeshttps://doi.org/10.1007/s00371-017-1428-zopenalex-snapshot
Review on the effects of age, gender, and race demographics on automatic face recognition
inferred← citeshttps://doi.org/10.1007/s00521-021-06451-3openalex-snapshot
Human ethnics prediction using facial features and optimized convolutional neural network
inferred← citeshttps://doi.org/10.1007/s00521-023-09376-1openalex-snapshot
Age transformation based on deep learning: a survey
inferred← citeshttps://doi.org/10.1007/s10462-019-09689-5openalex-snapshot
A survey on facial soft biometrics for video surveillance and forensic applications
inferred← citeshttps://doi.org/10.1007/s11042-016-4085-8openalex-snapshot
Leveraging implicit demographic information for face recognition using a multi-expert system
inferred← citeshttps://doi.org/10.1016/b978-0-08-100705-1.00007-5openalex-snapshot
Soft Biometric Attributes in the Wild: Case Study on Gender Classification
inferred← citeshttps://doi.org/10.1016/j.cviu.2016.09.004openalex-snapshot
MEG: Texture operators for multi-expert gender classification
inferred← citeshttps://doi.org/10.1016/j.measurement.2019.06.008openalex-snapshot
Face recognition using fusion of feature learning techniques
inferred← citeshttps://doi.org/10.1016/j.patrec.2015.02.009openalex-snapshot
Mobile Iris Challenge Evaluation (MICHE)-I, biometric iris dataset and protocols
inferred← citeshttps://doi.org/10.1038/s42256-024-00874-yopenalex-snapshot
On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare
inferred← citeshttps://doi.org/10.1109/access.2018.2823378openalex-snapshot
Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images
inferred← citeshttps://doi.org/10.1109/access.2020.3028694openalex-snapshot
Facial Anthropometric Measurements and Photographs — An Interdisciplinary Study
inferred← citeshttps://doi.org/10.1109/ceec.2017.8101628openalex-snapshot
Towards ethnicity detection using learning based classifiers
inferred← citeshttps://doi.org/10.1109/flta63145.2024.10840118openalex-snapshot
Data Skew in Federated Learning: An Experimental Evaluation on Aggregation Algorithms
inferred← citeshttps://doi.org/10.1109/ic4me253898.2021.9768496openalex-snapshot
Generating Face Image Dataset using a 3D Head Model
inferred← citeshttps://doi.org/10.1109/icai52203.2021.9445248openalex-snapshot
Classification of Demographic Attributes from Facial Image by using CNN
inferred← citeshttps://doi.org/10.1109/sitis.2019.00124openalex-snapshot
MUBIDUS-I: A multibiometric and multipurpose dataset
inferred← citeshttps://doi.org/10.1109/tifs.2015.2480381openalex-snapshot
What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics
inferred← citeshttps://doi.org/10.1109/tpami.2014.2321570openalex-snapshot
Learning Race from Face: A Survey
inferred← citeshttps://doi.org/10.1117/12.2057722openalex-snapshot
A color and texture based multi-level fusion scheme for ethnicity identification
inferred← citeshttps://doi.org/10.1145/3592813.3592901openalex-snapshot
Machine-based Stereotypes: How Machine Learning Algorithms Evaluate Ethnicity from Face Data
inferred← citeshttps://doi.org/10.17758/dirpub11.dir0522120openalex-snapshot
Man Vs Machine: The Ethnic Verification of Pakistani and Non-Pakistani Mouth Features
inferred← citeshttps://doi.org/10.3390/informatics9010018openalex-snapshot
Automatic Ethnicity Classification from Middle Part of the Face Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.4018/978-1-4666-5966-7.ch018openalex-snapshot
Face Recognition in Adverse Conditions
inferred← citeshttps://doi.org/10.4018/978-1-5225-5204-8.ch096openalex-snapshot
Face Recognition in Adverse Conditions
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