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Machine learning datasets have elicited concerns about privacy, bias, and unethical applications, leading to the retraction of prominent datasets such as DukeMTMC, MS-Celeb-1M, and Tiny Images.
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
A. Georghiades, P. Belhumeur, and D. Kriegman · 2001
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Who's In the Picture
Tamara Berg, Alexander Berg, Jaety Edwards, and David Forsyth · 2004
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Research misconduct, retraction, and cleansing the medical literature: Lessons from the poehlman case
Harold C. Sox and Drummond Rennie · 2006
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Unsupervised Joint Alignment of Complex Images
Gary B. Huang, Vidit Jain, and Erik Learned-Miller · 2007
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Multi-PIE
R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker · 2008
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Face Alignment Via Component-Based Discriminative Search
Lin Liang, Rong Xiao, Fang Wen, and Jian Sun · 2008
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80 million tiny images: A large data set for nonparametric object and scene recognition
Antonio Torralba, Rob Fergus, and William T Freeman · 2008
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ImageNet: A large-scale hierarchical image database
Jia Deng, W. Dong, R. Socher, L. Li, K. Li, and Li Fei-Fei · 2009
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Is that you? Metric learning approaches for face identification
M. Guillaumin, J. Verbeek, and C. Schmid · 2009
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Attribute and simile classifiers for face verification
Neeraj Kumar, Alexander C. Berg, Peter N. Belhumeur, and Shree K. Nayar · 2009
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Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference
Conrad Sanderson and Brian C. Lovell · 2009
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Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics
Lior Wolf, Tal Hassner, and Yaniv Taigman · 2011
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Real-time facial feature detection using conditional regression forests
Matthias Dantone, Juergen Gall, G. Fanelli, and L. Gool · 2012
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Learning to Align from Scratch
Gary B. Huang, Marwan A. Mattar, Honglak Lee, and Erik Learned-Miller · 2012
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Evaluating Open-Universe Face Identification on the Web
Brian C. Becker and Enrique G. Ortiz · 2013
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Deep Convolutional Network Cascade for Facial Point Detection
Y. Sun, Xiaogang Wang, and X. Tang · 2013
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Unconstrained face recognition: Establishing baseline human performance via crowdsourcing
L. Best-Rowden, Shiwani Bisht, Joshua C. Klontz, and Anil K. Jain · 2014
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Academic Torrents: A Community-Maintained Distributed Repository
Joseph Paul Cohen and Henry Z. Lo · 2014
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A benchmark study of large-scale unconstrained face recognition
Shengcai Liao, Zhen Lei, Dong Yi, and S. Li · 2014
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Facial Landmark Detection by Deep Multi-task Learning
Zhanpeng Zhang, Ping Luo, Chen Change Loy, and Xiaoou Tang · 2014
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Effective face frontalization in unconstrained images
Tal Hassner, Shai Harel, E. Paz, and Roee Enbar · 2015
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Deep Learning Face Attributes in the Wild
Z. Liu, Ping Luo, Xiaogang Wang, and X. Tang · 2015
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Deep Face Recognition
Omkar M. Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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Perpetuation of Retracted Publications Using the Example of the Scott S. Reuben Case: Incidences, Reasons and Possible Improvements
Helmar Bornemann-Cimenti, Istvan S. Szilagyi, and Andreas Sandner-Kiesling · 2016
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Why do some retracted papers continue to be cited?
Jaime A. Teixeira da Silva and Helmar Bornemann-Cimenti · 2016
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Effective 3D based frontalization for unconstrained face recognition
Claudio Ferrari, Giuseppe Lisanti, Stefano Berretti, and Alberto Del Bimbo · 2016
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MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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How to better flag retractions? Here’s what PubMed is trying
Ivan Oransky · 2016
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Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking
Ergys Ristani, Francesco Solera, Roger S. Zou, Rita Cucchiara, and Carlo Tomasi · 2016
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End-to-End People Detection in Crowded Scenes
R. Stewart, M. Andriluka, and A. Ng · 2016
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The FAIR Guiding Principles for scientific data management and stewardship
M. Wilkinson, M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, J. Boiten, Luiz Olavo Bonino da Silva Santos, P. Bourne, J. Bouwman, A. Brookes, Tim Clark, M. Crosas, I. Dillo, Olivier Dumon, S. Edmunds, C. Evelo, R. Finkers, Alejandra N. González-Beltrán, A. Gray, Paul Groth, C. Goble, J. Grethe, J. Heringa, P. ’t Hoen, R. Hooft, Tobias Kuhn, Ruben G. Kok, J. Kok, S. Lusher, M. Martone, Albert Mons, A. Packer, Bengt Persson, P. Rocca-Serra, M. Roos, René C van Schaik, Susanna-Assunta Sansone, E. Schultes, T. Sengstag, Ted Slater, George O. Strawn, M. Swertz, Mark Thompson, J. van der Lei, E. V. van Mulligen, Jan Velterop, A. Waagmeester, P. Wittenburg, K. Wolstencroft, J. Zhao, and B. Mons · 2016
Cited alongside, same era.
Su Lin Blodgett and Brendan T. O’Connor · 2017
Cited alongside, same era.
Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna Bryson, and Arvind Narayanan · 2017
Cited alongside, same era.
Marginal Loss for Deep Face Recognition
Jiankang Deng, Yuxiang Zhou, and S. Zafeiriou · 2017
Cited alongside, same era.
Pose-Guided Feature Alignment for Occluded Person Re-Identification
Jiaxu Miao, Yu Wu, Ping Liu, Yuhang Ding, and Yi Yang · 2019
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Model Cards for Model Reporting
Margaret Mitchell, Simone Wu, Andrew Zaldivar, P. Barnes, Lucy Vasserman, B. Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, and Timnit Gebru · 2019
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Microsoft quietly deletes largest public face recognition data set
Madhumita Murgia · 2019
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Facial recognition’s ‘dirty little secret’: Millions of online photos scraped without consent
Olivia Solon · 2019
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Letter: Video analysis research at Duke
Carlo Tomasi · 2019
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Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network
M. Wang, W. Deng, Jiani Hu, Xunqiang Tao, and Y. Huang · 2019
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DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset
Mengran Gou, S. Karanam, WenQian Liu, O. Camps, and R. Radke · 2017
Cited alongside, same era.
“The study has been approved by the IRB”: Gayface AI, research hype and the pervasive data ethics gap
Jacob Metcalf · 2017
Cited alongside, same era.
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro
Zhedong Zheng, Liang Zheng, and Yi Yang · 2017
Cited alongside, same era.
Deformable Models of Ears in-the-Wild for Alignment and Recognition
Yuxiang Zhou and S. Zafeiriou · 2017
Cited alongside, same era.
Deep Features for Recognizing Disguised Faces in the Wild
Ankan Bansal, Rajeev Ranjan, Carlos D. Castillo, and Rama Chellappa · 2018
Cited alongside, same era.
Temporal characteristics of retracted articles
Judit Bar-Ilan and Gali Halevi · 2018
Cited alongside, same era.
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, and Yunfeng Zhang · 2018
Cited alongside, same era.
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
Emily M. Bender and Batya Friedman · 2018
Cited alongside, same era.
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Like a Researcher Stating Broader Impact For the Very First Time
Grace Abuhamad and Claudel Rheault · 2020
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Does retraction after misconduct have an impact on citations? A pre–post study
Cristina Candal-Pedreira, Alberto Ruano-Raviña, Esteve Fernández, Jorge Ramos, Isabel Campos-Varela, and Mónica Pérez-Ríos · 2020
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Bringing the People Back In: Contesting Benchmark Machine Learning Datasets, 2020
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, and Morgan Klaus Scheuerman · 2020
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FAIR Data Reuse – the Path through Data Citation
Paul T. Groth, H. Cousijn, Tim Clark, and C. Goble · 2020
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An Ethical Highlighter for People-Centric Dataset Creation
Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor, Noah Snavely, and Helen Nissenbaum · 2020
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Towards a critical race methodology in algorithmic fairness
A. Hanna, Emily L. Denton, A. Smart, and Jamila Smith-Loud · 2020
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Lessons from Archives: Strategies for Collecting Sociocultural Data in Machine Learning
Eun Seo Jo and Timnit Gebru · 2020
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Unsupervised Tracklet Person Re-Identification
Minxian Li, Xiatian Zhu, and S. Gong · 2020
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Think your mask makes you invisible to facial recognition? Not so fast, AI companies say
Rachel Metz · 2020
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Data and its (dis)contents: A survey of dataset development and use in machine learning research
Amandalynne Paullada, Inioluwa Deborah Raji, Emily M Bender, Emily Denton, and Alex Hanna · 2020
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Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu and Abeba Birhane · 2020
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Continued post-retraction citation of a fraudulent clinical trial report, 11 years after it was retracted for falsifying data
Jodi Schneider, D. Ye, D. Ye, Alison M. Hill, Ashley Whitehorn, and Ashley Whitehorn · 2020
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REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang, Arvind Narayanan, and Olga Russakovsky · 2020
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Masked Face Recognition Dataset and Application
Zhong yuan Wang, Guangcheng Wang, Baojin Huang, Zhangyang Xiong, Q. Hong, Hao Wu, Peng Yi, Kui Jiang, Nanxi Wang, Yingjiao Pei, Heling Chen, Yu Miao, Z. Huang, and Jinbi Liang · 2020
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A Survey of Deep Facial Attribute Analysis
Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, and R. He · 2020
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https://github.com/kermitt2/grobid , 2008–2021
GROBID · 2021
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Exposing.ai
Adam Harvey and Jules LaPlace · 2021
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One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Zaid Khan and Yun Fu · 2021
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About Face: A Survey of Facial Recognition Evaluation, 2021
Inioluwa Deborah Raji and Genevieve Fried · 2021
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Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed and Aylin Caliskan · 2021
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Deep Face Recognition: A Survey
Mei Wang and Weihong Deng · 2021
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Face-mask recognition has arrived-for better or worse
Wudan Yan · 2021
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A Study of Face Obfuscation in ImageNet
Kaiyu Yang, Jacqueline Yau, Li Fei-Fei, Jia Deng, and Olga Russakovsky · 2021
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